Patent Publication Number: US-2022238223-A1

Title: System and method to enable remote adjustment of a device during a telemedicine session

Description:
CROSS-REFERENCES TO RELATED APPLICATIONS 
     This application is a continuation of U.S. patent application Ser. No. 17/379,524, filed Jul. 19, 2021, titled “System and Method to Enable Remote Adjustment of a Device During a Telemedicine Session”, which is a continuation of U.S. patent application Ser. No. 17/147,514, filed Jan. 13, 2021, titled “System and Method to Enable Remote Adjustment of a Device During a Telemedicine Session”, which claims priority to and the benefit of U.S. Prov. Pat. App. No. 63/029,896, filed May 26, 2020, titled “System and Method to Enable Remote Adjustment of a Device During a Telemedicine Session”. U.S. patent application Ser. No. 17/147,514 is also a continuation-in-part of U.S. patent application Ser. No. 17/021,895, filed Sep. 15, 2020, titled “Telemedicine for Orthopedic Treatment” which claims priority to and the benefit of U.S. Prov. Pat. App. 62/910,232 filed Oct. 3, 2019, titled “Telemedicine for Orthopedic Treatment”. The entire disclosures of the above-referenced applications are hereby incorporated by reference for all purposes. 
    
    
     TECHNICAL FIELD 
     This disclosure relates generally to a system and a method for enabling a remote adjustment of a device during a telemedicine session. 
     BACKGROUND 
     Remote medical assistance, also referred to, inter alia, as remote medicine, telemedicine, telemed, telmed, tel-med, or telehealth, is an at least two-way communication between a healthcare provider or providers, such as a physician or a physical therapist, and a patient using audio and/or audiovisual and/or other sensorial or perceptive (e.g., tactile, gustatory, haptic, pressure-sensing-based or electromagnetic (e.g., neurostimulation) communications (e.g., via a computer, a smartphone, or a tablet). Telemedicine may aid a patient in performing various aspects of a rehabilitation regimen for a body part. The patient may use a patient interface in communication with an assistant interface for receiving the remote medical assistance via audio, visual, audiovisual, or other communications described elsewhere herein. Any reference herein to any particular sensorial modality shall be understood to include and to disclose by implication a different one or more sensory modalities. 
     Telemedicine is an option for healthcare providers to communicate with patients and provide patient care when the patients do not want to or cannot easily go to the healthcare providers&#39; offices. Telemedicine, however, has substantive limitations as the healthcare providers cannot conduct physical examinations of the patients. Rather, the healthcare providers must rely on verbal communication and/or limited remote observation of the patients. 
     SUMMARY 
     In general, the present disclosure provides a system and method for remote examination of patients through augmentation. 
     An aspect of the disclosed embodiments includes a computer-implemented system comprising a treatment device, a patient interface, and a processing device. The treatment device is configured to be manipulated by a user while the user performs a treatment plan. The patient interface comprises an output device configured to present telemedicine information associated with a telemedicine session. The processing device is configured to receive a treatment plan for a patient; during the telemedicine session, use the treatment plan to generate at least one parameter; and responsive to at least one trigger condition occurring, control at least one operation of the device. 
     Another aspect of the disclosed embodiments includes a system for enabling a remote adjustment of a device. The system comprises a control system comprising one or more processing devices operatively coupled to the device. The one or more processing devices are configured to receive a treatment plan for a patient; use the treatment plan to generate at least one parameter; and responsive to at least one trigger condition occurring, control at least one operation of the device. 
     Another aspect of the disclosed embodiments includes a system that includes a processing device and a memory communicatively coupled to the processing device and capable of storing instructions. The processing device executes the instructions to perform any of the methods, operations, or steps described herein. 
     Another aspect of the disclosed embodiments includes a tangible, non-transitory computer-readable medium storing instructions that, when executed, cause a processing device to perform any of the methods, operations, or steps described herein. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
       For a more complete understanding of this disclosure and its advantages, reference is now made to the following description, taken in conjunction with the accompanying drawings. It is emphasized that, according to common practice, the various features of the drawings are not to-scale. On the contrary, the dimensions of the various features are arbitrarily expanded or reduced for clarity. 
         FIG. 1  generally illustrates a high-level component diagram of an illustrative system according to certain aspects of this disclosure. 
         FIGS. 2A-D  generally illustrate example treatment devices according to certain aspects of this disclosure. 
         FIG. 3  generally illustrates an example master device according to certain aspects of this disclosure. 
         FIGS. 4A-D  generally illustrate example augmented images according to certain aspects of this disclosure. 
         FIG. 5  generally illustrates an example method of operating a remote examination system according to certain aspects of this disclosure. 
         FIG. 6  generally illustrates an example method of operating a remote examination system according to certain aspects of this disclosure. 
         FIG. 7  generally illustrates a high-level component diagram of an illustrative system for a remote adjustment of a device according to certain aspects of this disclosure. 
         FIG. 8  generally illustrates a perspective view of an example of the device according to certain aspects of this disclosure. 
         FIG. 9  generally illustrates an example method of enabling a remote adjustment of a device according to certain aspects of this disclosure. 
         FIG. 10  generally illustrates an example computer system according to certain to certain aspects of this disclosure. 
         FIG. 11  generally illustrates a perspective view of an embodiment of the device, such as a treatment device according to certain aspects of this disclosure. 
         FIG. 12  generally illustrates a perspective view of a pedal of the treatment device of  FIG. 11  according to certain aspects of this disclosure. 
         FIG. 13  generally illustrates a perspective view of a person using the treatment device of  FIG. 11  according to certain aspects of this disclosure. 
     
    
    
     NOTATION AND NOMENCLATURE 
     Various terms are used to refer to particular system components. Different companies may refer to a component by different names—this document does not intend to distinguish between components that differ in name but not function. In the following discussion and in the claims, the terms “including” and “comprising” are used in an open-ended fashion, and thus should be interpreted to mean “including, but not limited to . . . .” Also, the term “couple” or “couples” is intended to mean either an indirect or direct connection. Thus, if a first device couples to a second device, that connection may be through a direct connection or through an indirect connection via other devices and connections. 
     The terminology used herein is for the purpose of describing particular example embodiments only, and is not intended to be limiting. As used herein, the singular forms “a,” “an,” and “the” may be intended to include the plural forms as well, unless the context clearly indicates otherwise. The method steps, processes, and operations described herein are not to be construed as necessarily requiring their performance in the particular order discussed or illustrated, unless specifically identified as an order of performance. It is also to be understood that additional or alternative steps may be employed. 
     The terms first, second, third, etc. may be used herein to describe various elements, components, regions, layers and/or sections; however, these elements, components, regions, layers and/or sections should not be limited by these terms. These terms may be only used to distinguish one element, component, region, layer, or section from another region, layer, or section. Terms such as “first,” “second,” and other numerical terms, when used herein, do not imply a sequence or order unless clearly indicated by the context. Thus, a first element, component, region, layer, or section discussed below could be termed a second element, component, region, layer, or section without departing from the teachings of the example embodiments. The phrase “at least one of,” when used with a list of items, means that different combinations of one or more of the listed items may be used, and only one item in the list may be needed. For example, “at least one of: A, B, and C” includes any of the following combinations: A, B, C, A and B, A and C, B and C, and A and B and C. In another example, the phrase “one or more” when used with a list of items means there may be one item or any suitable number of items exceeding one. 
     Spatially relative terms, such as “inner,” “outer,” “beneath,” “below,” “lower,” “above,” “upper,” “top,” “bottom,” “inside,” “outside,” “contained within,” “superimposing upon,” and the like, may be used herein. These spatially relative terms can be used for ease of description to describe one element&#39;s or feature&#39;s relationship to another element(s) or feature(s) as illustrated in the figures. The spatially relative terms may also be intended to encompass different orientations of the device in use, or operation, in addition to the orientation depicted in the figures. For example, if the device in the figures is turned over, elements described as “below” or “beneath” other elements or features would then be oriented “above” the other elements or features. Thus, the example term “below” can encompass both an orientation of above and below. The device may be otherwise oriented (rotated 90 degrees or at other orientations) and the spatially relative descriptions used herein interpreted accordingly. 
     A “treatment plan” may include one or more treatment protocols, and each treatment protocol includes one or more treatment sessions. Each treatment session comprises several session periods, with each session period including a particular exercise for treating the body part of the patient. For example, a treatment plan for post-operative rehabilitation after a knee surgery may include an initial treatment protocol with twice daily stretching sessions for the first 3 days after surgery and a more intensive treatment protocol with active exercise sessions performed 4 times per day starting 4 days after surgery. A treatment plan may also include information pertaining to a medical procedure to perform on the patient, a treatment protocol for the patient using a treatment device, a diet regimen for the patient, a medication regimen for the patient, a sleep regimen for the patient, additional regimens, or some combination thereof. 
     The terms telemedicine, telehealth, telemed, teletherapeutic, telemedicine, remote medicine, etc. may be used interchangeably herein. 
     The term “optimal treatment plan” may refer to optimizing a treatment plan based on a certain parameter or factors or combinations of more than one parameter or factor, such as, but not limited to, a measure of benefit which one or more exercise regimens provide to users, one or more probabilities of users complying with one or more exercise regimens, an amount, quality or other measure of sleep associated with the user, information pertaining to a diet of the user, information pertaining to an eating schedule of the user, information pertaining to an age of the user, information pertaining to a sex of the user, information pertaining to a gender of the user, an indication of a mental state of the user, information pertaining to a genetic condition of the user, information pertaining to a disease state of the user, an indication of an energy level of the user, information pertaining to a microbiome from one or more locations on or in the user (e.g., skin, scalp, digestive tract, vascular system, etc.), or some combination thereof. 
     As used herein, the term healthcare provider may include a medical professional (e.g., such as a doctor, a nurse, a therapist, and the like), an exercise professional (e.g., such as a coach, a trainer, a nutritionist, and the like), or another professional sharing at least one of medical and exercise attributes (e.g., such as an exercise physiologist, a physical therapist, an occupational therapist, and the like). As used herein, and without limiting the foregoing, a “healthcare provider” may be a human being, a robot, a virtual assistant, a virtual assistant in virtual and/or augmented reality, or an artificially intelligent entity, such entity including a software program, integrated software and hardware, or hardware alone. 
     DETAILED DESCRIPTION 
     The following discussion is directed to various embodiments of the present disclosure. Although one or more of these embodiments may be preferred, the embodiments disclosed should not be interpreted, or otherwise used, as limiting the scope of the disclosure, including the claims. In addition, one skilled in the art will understand that the following description has broad application, and the discussion of any embodiment is meant only to be exemplary of that embodiment, and not intended to intimate that the scope of the disclosure, including the claims, is limited to that embodiment. 
     Determining optimal remote examination procedures to create an optimal treatment plan for a patient having certain characteristics (e.g., vital-sign or other measurements; performance; demographic; geographic; psychographic; diagnostic; measurement- or test-based; medically historic; behavioral historic; cognitive; etiologic; cohort-associative; differentially diagnostic; surgical, physically therapeutic, pharmacologic and other treatment(s) recommended; etc.) may be a technically challenging problem. For example, a multitude of information may be considered when determining a treatment plan, which may result in inefficiencies and inaccuracies in the treatment plan selection process. In a rehabilitative setting, some of the multitude of information considered may include characteristics of the patient such as personal information, performance information, and measurement information. The personal information may include, e.g., demographic, psychographic or other information, such as an age, a weight, a gender, a height, a body mass index, a medical condition, a familial medication history, an injury, a medical procedure, a medication prescribed, or some combination thereof. The performance information may include, e.g., an elapsed time of using a treatment device, an amount of force exerted on a portion of the treatment device, a range of motion achieved on the treatment device, a movement speed of a portion of the treatment device, a duration of use of the treatment device, an indication of a plurality of pain levels using the treatment device, or some combination thereof. The measurement information may include, e.g., a vital sign, a respiration rate, a heartrate, a temperature, a blood pressure, a glucose level or other biomarker, or some combination thereof. It may be desirable to process and analyze the characteristics of a multitude of patients, the treatment plans performed for those patients, and the results of the treatment plans for those patients. 
     Further, another technical problem may involve distally treating, via a computing device during a telemedicine session, a patient from a location different than a location at which the patient is located. An additional technical problem is controlling or enabling, from the different location, the control of a treatment apparatus used by the patient at the patient&#39;s location. Oftentimes, when a patient undergoes rehabilitative surgery (e.g., knee surgery), a medical professional may prescribe a treatment apparatus to the patient to use to perform a treatment protocol at their residence or at any mobile location or temporary domicile. A medical professional may refer to a doctor, physician assistant, nurse, chiropractor, dentist, physical therapist, acupuncturist, physical trainer, or the like. A medical professional may refer to any person with a credential, license, degree, or the like in the field of medicine, physical therapy, rehabilitation, or the like. 
     When the healthcare provider is located in a location different from the patient and the treatment device, it may be technically challenging for the healthcare provider to monitor the patient&#39;s actual progress (as opposed to relying on the patient&#39;s word about their progress) in using the treatment device, modify the treatment plan according to the patient&#39;s progress, adapt the treatment device to the personal characteristics of the patient as the patient performs the treatment plan, and the like. Further, in addition to the information described above, determining optimal examination procedures for a particular ailment (e.g., injury, disease, any applicable medical condition, etc.) may include physically examining the injured body part of a patient. The healthcare provider, such as a physician or a physical therapist, may visually inspect the injured body part (e.g., a knee joint). The inspection may include looking for signs of inflammation or injury (e.g., swelling, redness, and warmth), deformity (e.g., symmetrical joints and abnormal contours and/or appearance), or any other suitable observation. To determine limitations of the injured body part, the healthcare provider may observe the injured body part as the patient attempts to perform normal activity (e.g., bending and extending the knee and gauging any limitations to the range of motion of the injured knee). The healthcare provide may use one or more hands and/or fingers to touch the injured body part. By applying pressure to the injured body part, the healthcare provider can obtain information pertaining to the extent of the injury. For example, the healthcare provider&#39;s fingers may palpate the injured body part to determine if there is point tenderness, warmth, weakness, strength, or to make any other suitable observation. 
     It may be desirable to compare characteristics of the injured body part with characteristics of a corresponding non-injured body part to determine what an optimal treatment plan for the patient may be such that the patient can obtain a desired result. Thus, the healthcare provider may examine a corresponding non-injured body part of the patient. For example, the healthcare provider&#39;s fingers may palpate a non-injured body part (e.g., a left knee) to determine a baseline of how the patient&#39;s non-injured body part feels and functions. The healthcare provider may use the results of the examination of the non-injured body part to determine the extent of the injury to the corresponding injured body part (e.g., a right knee). Additionally, injured body parts may affect other body parts (e.g., a knee injury may limit the use of the affected leg, leading to atrophy of leg muscles). Thus, the healthcare provider may also examine additional body parts of the patient for evidence of atrophy of or injury to surrounding ligaments, tendons, bones, and muscles, examples of muscles being such as quadriceps, hamstrings, or calf muscle groups of the leg with the knee injury. The healthcare provider may also obtain information as to a pain level that the patient reports or experiences before, during, and/or after the examination. 
     The healthcare provider can use the information obtained from the examination (e.g., the results of the examination) to determine a proper treatment plan for the patient. If the healthcare provider cannot conduct a physical examination of the one or more body parts of the patient, the healthcare provider may not be able to fully assess the patient&#39;s injury and the treatment plan may not be optimal. Accordingly, embodiments of the present disclosure pertain to systems and methods for conducting a remote examination of a patient. The remote examination system provides the healthcare provider with the ability to conduct a remote examination of the patient, not only by communicating with the patient, but by virtually observing and/or feeling the patient&#39;s one or more body parts. 
     In some embodiments, the systems and methods described herein may be configured to use a treatment device configured to be manipulated by an individual while the user performs a treatment plan. The individual may include a user, patient, or other a person using the treatment device to perform various exercises for prehabilitation, rehabilitation, stretch training, and the like. The systems and methods described herein may be configured to use and/or provide a patient interface comprising an output device configured to present telemedicine information associated with a telemedicine session. 
     In some embodiments, the systems and methods described herein may be configured to receive a treatment plan for a patient; during the telemedicine session, use the treatment plan to generate at least one parameter; and responsive to at least one trigger condition occurring, control at least one operation of the device. Any or all of the methods described may be implemented during a telemedicine session or at any other desired time. 
     In some embodiments, the treatment devices may be communicatively coupled to a server. Characteristics of the patients, including the treatment data, may be collected before, during, and/or after the patients perform the treatment plans. For example, any or each of the personal information, the performance information, and the measurement information may be collected before, during, and/or after a patient performs the treatment plans. The results (e.g., improved performance or decreased performance) of performing each exercise may be collected from the treatment device throughout the treatment plan and after the treatment plan is performed. The parameters, settings, configurations, etc. (e.g., position of pedal, amount of resistance, etc.) of the treatment device may be collected before, during, and/or after the treatment plan is performed. 
     Each characteristic of the patient, each result, and each parameter, setting, configuration, etc. may be timestamped and may be correlated with a particular step or set of steps in the treatment plan. Such a technique may enable the determination of which steps in the treatment plan lead to desired results (e.g., improved muscle strength, range of motion, etc.) and which steps lead to diminishing returns (e.g., continuing to exercise after 3 minutes actually delays or harms recovery). 
     Data may be collected from the treatment devices and/or any suitable computing device (e.g., computing devices where personal information is entered, such as the interface of the computing device described herein, a clinician interface, patient interface, and the like) over time as the patients use the treatment devices to perform the various treatment plans. The data that may be collected may include the characteristics of the patients, the treatment plans performed by the patients, the results of the treatment plans, any of the data described herein, any other suitable data, or a combination thereof. 
     In some embodiments, the data may be processed to group certain people into cohorts. The people may be grouped by people having certain or selected similar characteristics, treatment plans, and results of performing the treatment plans. For example, athletic people having no medical conditions who perform a treatment plan (e.g., use the treatment device for 30 minutes a day 5 times a week for 3 weeks) and who fully recover may be grouped into a first cohort. Older people who are classified obese and who perform a treatment plan (e.g., use the treatment plan for 10 minutes a day 3 times a week for 4 weeks) and who improve their range of motion by 75 percent may be grouped into a second cohort. 
     In some embodiments, an artificial intelligence engine may include one or more machine learning models that are trained using the cohorts. In some embodiments, the artificial intelligence engine may be used to identify trends and/or patterns and to define new cohorts based on achieving desired results from the treatment plans and machine learning models associated therewith may be trained to identify such trends and/or patterns and to recommend and rank the desirability of the new cohorts. For example, the one or more machine learning models may be trained to receive an input of characteristics of a new patient and to output a treatment plan for the patient that results in a desired result. The machine learning models may match a pattern between the characteristics of the new patient and at least one patient of the patients included in a particular cohort. When a pattern is matched, the machine learning models may assign the new patient to the particular cohort and select the treatment plan associated with the at least one patient. The artificial intelligence engine may be configured to control, distally and based on the treatment plan, the treatment device while the new patient uses the treatment device to perform the treatment plan. 
     As may be appreciated, the characteristics of the new patient (e.g., a new user) may change as the new patient uses the treatment device to perform the treatment plan. For example, the performance of the patient may improve quicker than expected for people in the cohort to which the new patient is currently assigned. Accordingly, the machine learning models may be trained to dynamically reassign, based on the changed characteristics, the new patient to a different cohort that includes people having characteristics similar to the now-changed characteristics as the new patient. For example, a clinically obese patient may lose weight and no longer meet the weight criterion for the initial cohort, result in the patient&#39;s being reassigned to a different cohort with a different weight criterion. 
     A different treatment plan may be selected for the new patient, and the treatment device may be controlled, distally (e.g., which may be referred to as remotely) and based on the different treatment plan, while the new patient uses the treatment device to perform the treatment plan. Such techniques may provide the technical solution of distally controlling a treatment device. 
     Further, the systems and methods described herein may lead to faster recovery times and/or better results for the patients because the treatment plan that most accurately fits their characteristics is selected and implemented, in real-time, at any given moment. “Real-time” may also refer to near real-time, which may be less than 10 seconds or any reasonably proximate difference between two different times. As described herein, the term “results” may refer to medical results or medical outcomes. Results and outcomes may refer to responses to medical actions. The term “medical action(s)” may refer to any suitable action performed by the medical professional, and such action or actions may include diagnoses, prescription of treatment plans, prescription of treatment devices, and the making, composing and/or executing of appointments, telemedicine sessions, prescription of medicines, telephone calls, emails, text messages, and the like. 
     Depending on what result is desired, the artificial intelligence engine may be trained to output several treatment plans. For example, one result may include recovering to a threshold level (e.g., 75% range of motion) in a fastest amount of time, while another result may include fully recovering (e.g., 100% range of motion) regardless of the amount of time. The data obtained from the patients and sorted into cohorts may indicate that a first treatment plan provides the first result for people with characteristics similar to the patient&#39;s, and that a second treatment plan provides the second result for people with characteristics similar to the patient. 
     Further, the artificial intelligence engine may be trained to output treatment plans that are not optimal i.e., sub-optimal, nonstandard, or otherwise excluded (all referred to, without limitation, as “excluded treatment plans”) for the patient. For example, if a patient has high blood pressure, a particular exercise may not be approved or suitable for the patient as it may put the patient at unnecessary risk or even induce a hypertensive crisis and, accordingly, that exercise may be flagged in the excluded treatment plan for the patient. In some embodiments, the artificial intelligence engine may monitor the treatment data received while the patient (e.g., the user) with, for example, high blood pressure, uses the treatment device to perform an appropriate treatment plan and may modify the appropriate treatment plan to include features of an excluded treatment plan that may provide beneficial results for the patient if the treatment data indicates the patient is handling the appropriate treatment plan without aggravating, for example, the high blood pressure condition of the patient. In some embodiments, the artificial intelligence engine may modify the treatment plan if the monitored data shows the plan to be inappropriate or counterproductive for the user. 
     In some embodiments, the treatment plans and/or excluded treatment plans may be presented, during a telemedicine or telehealth session, to a healthcare provider. The healthcare provider may select a particular treatment plan for the patient to cause that treatment plan to be transmitted to the patient and/or to control, based on the treatment plan, the treatment device. In some embodiments, to facilitate telehealth or telemedicine applications, including remote diagnoses, determination of treatment plans and rehabilitative and/or pharmacologic prescriptions, the artificial intelligence engine may receive and/or operate distally from the patient and the treatment device. 
     In such cases, the recommended treatment plans and/or excluded treatment plans may be presented simultaneously with a video of the patient in real-time or near real-time during a telemedicine or telehealth session on a user interface of a computing device of a medical professional. The video may also be accompanied by audio, text and other multimedia information and/or other sensorial or perceptive (e.g., tactile, gustatory, haptic, pressure-sensing-based or electromagnetic (e.g., neurostimulation). Real-time may refer to less than or equal to 2 seconds. Near real-time may refer to any interaction of a sufficiently short time to enable two individuals to engage in a dialogue via such user interface, and will generally be less than 10 seconds (or any suitably proximate difference between two different times) but greater than 2 seconds. 
     Presenting the treatment plans generated by the artificial intelligence engine concurrently with a presentation of the patient video may provide an enhanced user interface because the healthcare provider may continue to visually and/or otherwise communicate with the patient while also reviewing the treatment plans on the same user interface. The enhanced user interface may improve the healthcare provider&#39;s experience using the computing device and may encourage the healthcare provider to reuse the user interface. Such a technique may also reduce computing resources (e.g., processing, memory, network) because the healthcare provider does not have to switch to another user interface screen to enter a query for a treatment plan to recommend based on the characteristics of the patient. The artificial intelligence engine may be configured to provide, dynamically on the fly, the treatment plans and excluded treatment plans. 
     In some embodiments, the treatment device may be adaptive and/or personalized because its properties, configurations, and positions may be adapted to the needs of a particular patient. For example, the pedals may be dynamically adjusted on the fly (e.g., via a telemedicine session or based on programmed configurations in response to certain measurements being detected) to increase or decrease a range of motion to comply with a treatment plan designed for the user. In some embodiments, a healthcare provider may adapt, remotely during a telemedicine session, the treatment device to the needs of the patient by causing a control instruction to be transmitted from a server to treatment device. Such adaptive nature may improve the results of recovery for a patient, furthering the goals of personalized medicine, and enabling personalization of the treatment plan on a per-individual basis. 
       FIGS. 1-13 , discussed below, and the various embodiments used to describe the principles of this disclosure are by way of illustration only and should not be construed in any way to limit the scope of the disclosure. 
       FIG. 1  illustrates a high-level component diagram of an illustrative remote examination system  100  according to certain embodiments of this disclosure. In some embodiments, the remote examination system  100  may include a slave computing device  102  communicatively coupled to a slave device, such as a treatment device  106 . The treatment device can include a slave sensor  108  and a slave pressure system  110 . The slave pressure system can include a slave motor  112 . The remote examination system may also be communicatively coupled to an imaging device  116 . Each of the slave computing device  102 , the treatment device  106 , and the imaging device  116  may include one or more processing devices, memory devices, and network interface cards. The network interface cards may enable communication via a wireless protocol for transmitting data over short distances, such as Bluetooth, ZigBee, etc. In some embodiments, the slave computing device  102  is communicatively coupled to the treatment device  106  and the imaging device  116  via Bluetooth. 
     Additionally, the network interface cards may enable communicating data over long distances, and in one example, the slave computing device  102  may communicate with a network  104 . The network  104  may be a public network (e.g., connected to the Internet via wired (Ethernet) or wireless (WiFi)), a private network (e.g., a local area network (LAN) or wide area network (WAN)), or a combination thereof. The slave computing device  102  may be communicatively coupled with one or more master computing devices  122  and a cloud-based computing system  142 . 
     The slave computing device  102  may be any suitable computing device, such as a laptop, tablet, smartphone, or computer. The slave computing device  102  may include a display capable of presenting a user interface, such as a patient portal  114 . The patient portal  114  may be implemented in computer instructions stored on the one or more memory devices of the slave computing device  102  and executable by the one or more processing devices of the slave computing device  102 . The patient portal  114  may present various screens to a patient that enable the patient to view his or her medical records, a treatment plan, or progress during the treatment plan; to initiate a remote examination session; to control parameters of the treatment device  106 ; to view progress of rehabilitation during the remote examination session; or combination thereof. The slave computing device  102  may also include instructions stored on the one or more memory devices that, when executed by the one or more processing devices of the slave computing device  102 , perform operations to control the treatment device  106 . 
     The slave computing device  102  may execute the patient portal  114 . The patient portal  114  may be implemented in computer instructions stored on the one or more memory devices of the slave computing device  102  and executable by the one or more processing devices of the slave computing device  102 . The patient portal  114  may present various screens to a patient which enable the patient to view a remote examination provided by a healthcare provider, such as a physician or a physical therapist. The patient portal  114  may also provide remote examination information for a patient to view. The examination information can include a summary of the examination and/or results of the examination in real-time or near real-time, such as measured properties (e.g., angles of bend/extension, pressure exerted on the treatment device  106 , images of the examined/treated body part, vital signs of the patient, such as heart rate, temperature, etc.) of the patient during the examination. The patient portal  114  may also provide the patient&#39;s health information, such as a health history, a treatment plan, and a progress of the patient throughout the treatment plan. So the examination of the patient may begin, the examination information specific to the patient may be transmitted via the network  104  to the cloud-based computing system  142  for storage and/or to the slave computing device  102 . 
     The treatment device  106  may be an examination device for a body part of a patient. As illustrated in  FIGS. 2A-D , the treatment device  106  can be configured in alternative arrangements and is not limited to the example embodiments described in this disclosure. Although not illustrated, the treatment device  106  can include a slave motor  112  and a motor controller  118 . The treatment device  106  can include a slave pressure system  110 . The slave pressure system  110  is any suitable pressure system configured to increase and/or decrease the pressure in the treatment device  106 . For example, the slave pressure system  110  can comprise the slave motor  112 , the motor controller  118 , and a pump. The motor controller  118  can activate the slave motor  112  to cause a pump or any other suitable device to inflate or deflate one or more sections  210  of the treatment device  106 . The treatment device  106  can be operatively coupled to one or more slave processing devices. The one or more slave processing devices can be configured to execute instructions in accordance with aspects of this disclosure. 
     As illustrated in  FIG. 2A , the treatment device  106  may comprise a brace  202  (e.g., a knee brace) configured to fit on the patient&#39;s body part, such as an arm, a wrist, a neck, a torso, a leg, a knee, an ankle, hips, or any other suitable body part. The brace  202  may include slave sensors  108 . The slave sensors  108  can be configured to detect information associated with the patient. For example, the slave sensors  108  can detect a measured level of force exerted from the patient to the treatment device  106 , a temperature of the one or more body parts in contact with the patient, a movement of the treatment device  106 , any other suitable information, or any combination thereof. The brace  202  may include sections  210 . The sections  210  can be formed as one or more chambers. The sections  210  may be configured to be filled with a liquid (e.g., a gel, air, water, etc.). The sections  210  may be configured in one or more shapes, such as, but not limited to rectangles, squares, diamonds circles, trapezoids, any other suitable shape, or combination thereof. The sections  210  may be the same or different sizes. The sections  210  may be positioned throughout the treatment device  106 . The sections  210  can be positioned on the brace  202  above a knee portion, below the knee portion, and along the sides of the knee portion. In some embodiments, the brace  202  may include sections  210  positioned adjacent to each other and positioned throughout the brace  202 . The sections  210  are not limited to the exemplary illustrations in  FIG. 4 . The brace  202  may include the one or more materials for the brace  202  and, in some embodiments, straps coupled to the brace  202 . The brace  202  be formed from metal, foam, plastic, elastic, or any suitable material or combination of materials. The brace  202  may be formed in any suitable shape, size, or design. 
     As illustrated in  FIG. 2B , the treatment device  106  may comprise a cap  204  that can be configured to fit onto the patient&#39;s head.  FIG. 2B  illustrates exemplary layers of the treatment device  106 . The treatment device  106  may include a first layer  212  and a second layer  214 . The first layer may be an outer later and the second layer  214  may be an inner layer. The second layer  214  may include the sections  210  and one or more sensors  108 . In this example embodiment, the sections  210  are coupled to and/or from portions of the second layer  214 . The sections  210  can be configured in a honeycomb pattern. The one or more sensors  108  may be coupled to the first layer  212 . The first layer  212  can be coupled to the second layer  214 . The first layer  212  can be designed to protect the sections  210  and the sensors  108 . The cap  204  may include a strap. The cap  204  and/or the strap be formed from metal, foam, plastic, elastic, or any suitable material or combination of materials. The cap  204  may be formed in any suitable shape, size, or design. 
     As illustrated in  FIG. 2C , the slave may comprise a mat  206 . The mat  206  may be configured for a patient to lie or sit down, or to stand upon. The mat  206  may include one or more sensors  108 . The mat  206  may include one or more sections  210 . The sections  210  in the treatment device  106  can be configured in a square grid pattern. The one or more sensors  108  may be coupled to and/or positioned within the one or more sections  210 . The mat  206  can be rectangular, circular, square, or any other suitable configuration. The mat  206  be formed from metal, foam, plastic, elastic, or any suitable material or combination of materials. The mat  206  may include one or more layers, such as a top layer. 
     As illustrated in  FIG. 2D , the slave may comprise a wrap  208 . The wrap  208  may be configured to wrap the wrap  208  around one or more portions and/or one or more body parts of the patient. For example, the wrap  208  may be configured to wrap around a person&#39;s torso. The wrap  208  may include one or more sensors  108 . The wrap  208  may include one or more sections  210 . The sections  210  in the treatment device  106  can be configured in a diamond grid pattern. The one or more sensors  108  may be coupled to and/or positioned within the one or more sections  210 . The wrap  208  can be rectangular, circular, square, or any other suitable configuration. The wrap  208  may include a strap. The wrap  208  and/or the strap be formed from metal, foam, plastic, elastic, or any suitable material or combination of materials. 
     The treatment device  106  may include at least one or more motor controllers  118  and one or more motors  112 , such as an electric motor. A pump, not illustrated, may be operatively coupled to the motor. The pump may be a hydraulic pump or any other suitable pump. The pump may be configured to increase or decrease pressure within the treatment device  106 . The size and speed of the pump may determine the flow rate (i.e., the speed that the load moves) and the load at the slave motor  112  may determine the pressure in one or more sections  210  of the treatment device  106 . The pump can be activated to increase or decrease pressure in the one or more sections  210 . One or more of the sections  210  may include a sensor  108 . The sensor  108  can be a sensor for detecting signals, such as a measured level of force, a temperature, or any other suitable signal. The motor controller  118  may be operatively coupled to the motor  112  and configured to provide commands to the motor  112  to control operation of the motor  112 . The motor controller  118  may include any suitable microcontroller including a circuit board having one or more processing devices, one or more memory devices (e.g., read-only memory (ROM) and/or random access memory (RAM)), one or more network interface cards, and/or programmable input/output peripherals. The motor controller  118  may provide control signals or commands to drive the motor  112 . The motor  112  may be powered to drive the pump of the treatment device  106 . The motor  112  may provide the driving force to the pump to increase or decrease pressure at configurable speeds. Further, the treatment device  106  may include a current shunt to provide resistance to dissipate energy from the motor  112 . In some embodiments, the treatment device  106  may comprise a haptic system, a pneumatic system, any other suitable system, or combination thereof. For example, the haptic system can include a virtual touch by applying forces, vibrations, or motions to the patient through the treatment device  106 . 
     The slave computing device  102  may be communicatively connected to the treatment device  106  via a network interface card on the motor controller  118 . The slave computing device  102  may transmit commands to the motor controller  118  to control the motor  112 . The network interface card of the motor controller  118  may receive the commands and transmit the commands to the motor  112  to drive the motor  112 . In this way, the slave computing device  102  is operatively coupled to the motor  112 . 
     The slave computing device  102  and/or the motor controller  118  may be referred to as a control system (e.g., a slave control system) herein. The patient portal  114  may be referred to as a patient user interface of the control system. The control system may control the motor  112  to operate in a number of modes: standby, inflate, and deflate. The standby mode may refer to the motor  112  powering off so it does not provide a driving force to the one or more pumps. For example, if the pump does not receive instructions to inflate or deflate the treatment device  106 , the motor  112  may remain turned off. In this mode, the treatment device  106  may not provide additional pressure to the patient&#39;s body part(s). 
     The inflate mode may refer to the motor  112  receiving manipulation instructions comprising measurements of pressure, causing the motor  112  to drive the one or more pumps coupled to the one or more sections of the treatment device  106  to inflate the one or more sections. The manipulation instruction may be configurable by the healthcare provider. For example, as the healthcare provider moves a master device  126 , the movement is provided in a manipulation instruction for the motor  112  to drive the pump to inflate one or more sections of the treatment device  106 . The manipulation instruction may include a pressure gradient to inflate first and second sections in a right side of a knee brace to first and second measured levels of force and inflate a third section in a left side of the knee brace to a third measured level of force. The first measured level of force correlates with the amount of pressure applied to the master device  126  by the healthcare provider&#39;s first finger. The second measured level of force correlates with the amount of pressure applied to the master device  126  by the healthcare provider&#39;s second finger. The third measured level of force correlates with the amount of pressure applied to the master device  126  by the healthcare provider&#39;s third finger. 
     The deflation mode may refer to the motor  112  receiving manipulation instructions comprising measurements of pressure, causing the motor  112  to drive the one or more pumps coupled to the one or more sections of the treatment device  106  to deflate the one or more sections. The manipulation instruction may be configurable by the healthcare provider. For example, as the healthcare provider moves the master device  126 , the movement is provided in a manipulation instruction for the motor  112  to drive the pump to deflate one or more sections of the treatment device  106 . The manipulation instruction may include a pressure gradient to deflate the first and second sections in the right side of the knee brace to fourth and fifth measured levels of force and deflate the third section in the left side of the knee brace to the third measured level of force. The fourth measured level of force correlates with the amount of pressure applied to the master device  126  by the healthcare provider&#39;s first finger. The fifth measured level of force correlates with the amount of pressure applied to the master device  126  by the healthcare provider&#39;s second finger. The sixth measured level of force correlates with the amount of pressure applied to the master device  126  by the healthcare provider&#39;s third finger. In this example, the healthcare provider loosened a grip (e.g., applied less pressure to each of the three fingers) applied to the treatment device  106  virtually via the master device  126 . 
     During one or more of the modes, the one or more slave sensors  108  may measure force (i.e., pressure or weight) exerted by a part of the body of the patient. For example, the each of the one or more sections  310  of the treatment device  106  may contain any suitable sensor (e.g., strain gauge load cell, piezoelectric crystal, hydraulic load cell, etc.) for measuring force exerted on the treatment device  106 . Further, the each of the one or more sections  310  of the treatment device  106  may contain any suitable sensor for detecting whether the body part of the patient separates from contact with the treatment device  106 . The force detected may be transmitted via the network interface card of the treatment device  106  to the control system (e.g., slave computing device  102  and/or the slave controller  118 ). As described further below, the control system may modify a parameter of operating the slave motor  112  using the measured force. Further, the control system may perform one or more preventative actions (e.g., locking the slave motor  112  to stop the pump from activating, slowing down the slave motor  112 , presenting a notification to the patient such as via the patient portal  114 , etc.) when the body part is detected as separated from the treatment device  106 , among other things. 
     In some embodiments, the remote examination system  100  includes the imaging device  116 . The imaging device  116  may be configured to capture and/or measure angles of extension and/or bend of body parts and transmit the measured angles to the slave computing device  102  and/or the master computing device  122 . The imaging device  116  may be included in an electronic device that includes the one or more processing devices, memory devices, and/or network interface cards. The imaging device  116  may be disposed in a cavity of the treatment device  106  (e.g., in a mechanical brace). The cavity of the mechanical brace may be located near a center of the mechanical brace such that the mechanical brace affords to bend and extend. The mechanical brace may be configured to secure to an upper body part (e.g., leg, arm, etc.) and a lower body part (e.g., leg, arm, etc.) to measure the angles of bend as the body parts are extended away from one another or retracted closer to one another. 
     The imaging device  116  can be a wearable, such as a wristband  704 . The wristband  704  may include a 2-axis accelerometer to track motion in the X, Y, and Z directions, an altimeter for measuring altitude, and/or a gyroscope to measure orientation and rotation. The accelerometer, altimeter, and/or gyroscope may be operatively coupled to a processing device in the wristband  704  and may transmit data to the processing device. The processing device may cause a network interface card to transmit the data to the slave computing device  102  and the slave computing device  102  may use the data representing acceleration, frequency, duration, intensity, and patterns of movement to track measurements taken by the patient over certain time periods (e.g., days, weeks, etc.). Executing a clinical portal  134 , the slave computing device  102  may transmit the measurements to the master computing device  122 . Additionally, in some embodiments, the processing device of the wristband  704  may determine the measurements taken and transmit the measurements to the slave computing device  102 . In some embodiments, the wristband  704  may use photoplethysmography (PPG), which detects an amount of red light or green light on the skin of the wrist, to measure heart rate. For example, blood may absorb green light so that when the heart beats, the blood flow may absorb more green light, thereby enabling the detection of heart rate. The heart rate may be sent to the slave computing device  102  and/or the master computing device  122 . 
     The slave computing device  102  may present the measurements (e.g., measured level of force or temperature) of the body part of the patient taken by the treatment device  106  and/or the heart rate of the patient via a graphical indicator (e.g., a graphical element) on the patient portal  114 , as discussed further below. The slave computing device  102  may also use the measurements and/or the heart rate to control a parameter of operating the treatment device  106 . For example, if the measured level of force exceeds a target pressure level for an examination session, the slave computing device  102  may control the motor  112  to reduce the pressure being applied to the treatment device  106 . 
     In some embodiments, the remote examination system  100  may include a master computing device  122  communicatively coupled to a master console  124 . The master console  124  can include a master device  126 . The master device  126  can include a master sensor  128  and a master pressure system  130 . The master pressure system can include a master motor  132 . The remote examination system may also be communicatively coupled to a master display  136 . Each of the master computing device  122 , the master device  126 , and the master display  136  may include one or more processing devices, memory devices, and network interface cards. The network interface cards may enable communication via a wireless protocol for transmitting data over short distances, such as Bluetooth, ZigBee, Near-Field Communications (NFC), etc. In some embodiments, the master computing device  122  is communicatively coupled to the master device  126  and the master display  136  via Bluetooth. 
     Additionally, the network interface cards may enable communicating data over long distances, and in one example, the master computing device  122  may communicate with a network  104 . The master computing device  122  may be communicatively coupled with the slave computing device  102  and the cloud-based computing system  142 . 
     The master computing device  122  may be any suitable computing device, such as a laptop, tablet, smartphone, or computer. The master computing device  122  may include a display capable of presenting a user interface, such as a clinical portal  134 . The clinical portal  134  may be implemented in computer instructions stored on the one or more memory devices of the master computing device  122  and executable by the one or more processing devices of the master computing device  122 . The clinical portal  134  may present various screens to a user (e.g., a healthcare provider), the screens configured to enable the user to view a patient&#39;s medical records, a treatment plan, or progress during the treatment plan; to initiate a remote examination session; to control parameters of the master device  126 ; to view progress of rehabilitation during the remote examination session, or combination thereof. The master computing device  122  may also include instructions stored on the one or more memory devices that, when executed by the one or more processing devices of the master computing device  122 , perform operations to control the master device  126 . 
     The master computing device  122  may execute the clinical portal  134 . The clinical portal  134  may be implemented in computer instructions stored on the one or more memory devices of the master computing device  122  and executable by the one or more processing devices of the master computing device  122 . The clinical portal  134  may present various screens to a healthcare provider (e.g., a clinician), the screens configured to enables the clinician to view a remote examination of a patient, such as a patient rehabilitating from a surgery (e.g., knee replacement surgery) or from an injury (e.g., sprained ankle). During a telemedicine session, an augmented image representing one or more body parts of the patient may be presented simultaneously with a video of the patient on the clinical portal  134  in real-time or in near real-time. For example, the clinical portal  134  may, at the same time, present the augmented image  402  of the knee of the patient and portions of the patient&#39;s leg extending from the knee and a video of the patient&#39;s upper body (e.g., face), so the healthcare provider can engage in more personal communication with the patient (e.g., via a video call). The video may be of the patient&#39;s full body, such that, during the telemedicine session, the healthcare provider may view the patient&#39;s entire body. The augmented image  402  can be displayed next to the video and/or overlaid onto the respective one or more body parts of the patient. For example, the augmented image  402  may comprise a representation of the treatment device  106  coupled to the patient&#39;s knee and leg portions. The clinical portal  134  may display the representation of the treatment device  106  overlaid onto the respective one or more body parts of the patient. Real-time may refer to less than 2 seconds, or any other suitable amount of time. Near real-time may refer to 2 or more seconds. The video may also be accompanied by audio, text, and other multimedia information. The master display  136  may also be configured to present the augmented image and/or the video as described herein. 
     Presenting the remote examination generated by the artificial intelligence engine concurrently with a presentation of the patient video may provide an enhanced user interface because the healthcare provider, while reviewing the examination on the same user interface, may also continue to visually and/or otherwise communicate with the patient. The enhanced user interface may improve the healthcare provider&#39;s experience in using the computing device and may encourage the healthcare provider to reuse the user interface. Such a technique may also reduce computing resources (e.g., processing, memory, network), because the healthcare provider does not have to switch to another user interface screen and, using the characteristics of the patient, enter a query for examination guidelines to recommend. For example, the enhanced user interface may provide the healthcare provider with recommended procedures to conduct during the telemedicine session. The recommended procedures may comprise a guide map, including indicators of locations and measured amounts of pressure to apply on the patient&#39;s one or more body parts. The artificial intelligence engine may analyze the examination results (e.g., measured levels of force exerted to and by the patient&#39;s one or more body parts, the temperature of the patient, the pain level of the patient, a measured range of motion of the one or more body parts, etc.) and provide, dynamically on the fly, the optimal examination procedures and excluded examination procedures. 
     The clinical portal  134  may also provide examination information generated during the telemedicine session for the healthcare provider to view. The examination information can include a summary of the examination and/or the results of the examination in real-time or near real-time, such as measured properties of the patient during the examination. Examples of the measured properties may include, but are not limited to, angles of bend/extension, pressure exerted on the master device  126 , pressure exerted by the patient on the treatment device  106 , images of the examined/treated body part, and vital signs of the patient, such as heart rate and temperature. The clinical portal  134  may also provide the clinician&#39;s notes and the patient&#39;s health information, such as a health history, a treatment plan, and a progress of the patient throughout the treatment plan. So the healthcare provider may begin the remote examination, the examination information specific to the patient may be transmitted via the network  104  to the cloud-based computing system  142  for storage and/or to the master computing device  122 . 
     In some embodiments, the clinical portal  134  may include a treatment plan that includes one or more examination procedures (e.g., manipulation instructions to manipulate one or more sections  210  of the treatment device  106 ). For example, a healthcare provider may input, to the clinical portal  134 , a treatment plan with pre-determined manipulation instructions for the treatment device  106  to perform during the remote examination. The healthcare provider may input the pre-determined manipulation instructions prior the remote examination. The treatment device  106  can be activated to perform the manipulations in accordance with the pre-determined manipulation instructions. The healthcare provider may observe the remote examination in real-time and make modifications to the pre-determined manipulation instructions during the remote examination. Additionally, the system  100  can store the results of the examination and the healthcare provider can complete the examination using the stored results (e.g., stored slave sensor data) and the master device  126 . In other words, the master processing device can use the slave sensor data to manipulate the master device  126 . This manipulation of the master device  126  can allow the healthcare provider to virtually feel the patient&#39;s one or more body parts and provide the healthcare provider with additional information to determine a personalized treatment plan for the patient. 
     The master device  126  may be an examination device configured for control by a healthcare provider. The master device  126  may be a joystick, a model treatment device (e.g., a knee brace to fit over a manikin knee), an examination device to fit over a body part of the healthcare provider (e.g., a glove device), any other suitable device, or combination thereof. The joystick may be configured to be used by a healthcare provider to provide manipulation instructions. The joystick may have one or more buttons (e.g., a trigger) to apply more or less pressure to one or more sections of the treatment device  106 . The joystick may be configured to control a moveable indicator (e.g., a cursor) displayed at the master display or any other suitable display. The moveable indicator can be moved over an augmented image  400  of the treatment device  106  and/or one or more body parts of the patient. The healthcare provider may be able to provide verbal commands to increase and/or decrease pressure based on where the moveable indicator is positioned relative to the augmented image  400 . The joystick may have master sensors  128  within a stick of the joystick. The stick may be configured to provide feedback to the user (e.g., vibrations or pressure exerted by the stick to the user&#39;s hand). 
     The model of the treatment device may be formed similarly to the treatment device  106 . For example, if the treatment device  106  is the knee brace  202 , the master device can be a model knee brace with similar characteristics of the knee brace  202 . The model can be configured for coupling to a manikin or any other suitable device. The model can comprise the master pressure system  130  and master sensors  128  and function as described in this disclosure. The model may be configured for a healthcare provider to manipulate (e.g., touch, move, and/or apply pressure) to one or more sections of the model and to generate master sensor data based on such manipulations. 
     The model can be operatively coupled to the treatment device  106 . The master sensor data can be used to inflate and/or deflate one or more corresponding sections of the treatment device  106  (e.g., as the healthcare provider is manipulating the model, the treatment device  106  is being manipulated on the patient). Responsive to receiving the slave sensor data, the master pressure system  130  can active and inflate and/or deflate one or more sections of the model (e.g., the pressure applied to the treatment device  106  by the patient&#39;s one or more body parts is similarly applied to the model for the healthcare provider to examine). The healthcare provider can essentially feel, with his or her bare (or appropriately gloved) hands, the patient&#39;s one or more body parts (e.g., the knee) while the healthcare provider virtually manipulates the patient body part(s). 
     In some embodiments, the system  100  may include one or more master computing devices  122  and one or more master consoles  124 . For example, a second master console can include a second master device  126  operatively coupled to a second master computing device. The second master device can comprise a second master pressure system  130 , and, using the slave force measurements, the one or more processing devices of system  100  can be configured to activate the second master pressure system  130 . During and/or after a telemedicine session, one or more healthcare providers can manipulate the treatment device  106  and/or use the slave sensor data to virtually feel the one or more body parts of the patient. For example, a physician and a physical therapist may virtually feel the one or more body parts of the patient at the same time or at different times. The physician may provide the manipulation instructions and the physical therapist may observe (e.g., virtually see and/or feel) how the patient&#39;s one or more body parts respond to the manipulations. The physician and the physical therapist may use different examination techniques (e.g., locations of the manipulations and/or measure levels of force applied to the treatment device  106 ) to obtain information for providing a treatment plan for the patient. Resulting from the physician using the master device  106  and the physical therapist using the second master device, each can provide manipulation instructions to the treatment device  106 . The manipulation instructions from the master device  106  and the second master device may be provided at the same time or at a different time (e.g., the physician provides a first manipulation instruction via the master device  126  and the physical therapist provides a second manipulation instruction via the second master device). In another example, the physician may have input a pre-determined manipulation instruction for the remote examination and the physical therapist may use the second master device to adjust the pre-determined manipulation instructions. The physician and the physical therapist may be located remotely from each other (and remotely from the patient) and each can use the system  100  to examine the patient and provide a personalized treatment plan for the patient. The system  100  can allow for collaboration between one or more healthcare providers and provide the healthcare providers with information to make optimal adjustments to the patient&#39;s treatment plan. 
     As illustrated in  FIG. 3 , the master device  126  comprises a glove device  300  configured to fit on a healthcare provider&#39;s hand. The glove device  300  can include fingers  302 . The glove may include one or more sensors (e.g., one or more master sensors  128 ). The glove device  300  may include the master sensors  128  positioned along the fingers  302 ,  304 ,  306 ,  308 ,  310  (collectively, fingers  302 ), throughout the palm of the glove, in any other suitable location, or in any combination thereof. For example, each finger can include a series of master sensors  128  positioned along the fingers  302 . Each of the series of master sensors  128  can be operatively coupled to one or more master controllers  138 . The master device  126  may include at least one or more master controllers  138  and one or more master motors  132 , such as an electric motor (not illustrated). 
     A pump (not illustrated) may be operatively coupled to the motor. The pump may be configured to increase or decrease pressure within the master device  126 . The master device  126  may include one or more sections and the pump can be activated to increase or decrease pressure (e.g., inflating or deflating fluid, such as water, gel, air) in the one or more sections (e.g., one or more fingertips). One or more of the sections may include a master sensor  128 . The master sensor  128  can be a sensor for detecting signals, such as pressure, or any other suitable signal. The master controller  138  may be operatively coupled to the master motor  132  and configured to provide commands to the master motor  132  to control operation of the master motor  132 . The master controller  138  may include any suitable microcontroller including a circuit board having one or more processing devices, one or more memory devices (e.g., read-only memory (ROM) and/or random access memory (RAM)), one or more network interface cards, and/or programmable input/output peripherals. The master controller  138  may provide control signals or commands to drive the master motor  132 . The master motor  132  may be powered to drive the pump of the master device  126 . The master motor  132  may provide the driving force to the pump to increase or decrease pressure at configurable speeds. Further, the master device  126  may include a current shunt to provide resistance to dissipate energy from the master motor  132 . In some embodiments, the treatment device  106  may comprise a haptic system, a pneumatic system, any other suitable system, or combination thereof. For example, the haptic system can include a virtual touch by applying forces, vibrations, or motions to the healthcare provider through the master device  126 . 
     The master computing device  122  may be communicatively connected to the master device  126  via a network interface card on the master controller  138 . The master computing device  122  may transmit commands to the master controller  138  to control the master motor  132 . The network interface card of the master controller  138  may receive the commands and transmit the commands to the master controller  138  to drive the master motor  132 . In this way, the master computing device  122  is operatively coupled to the master motor  132 . 
     The master computing device  122  and/or the master controller  138  may be referred to as a control system (e.g., a master control system) herein. The clinical portal  134  may be referred to as a clinical user interface of the control system. The master control system may control the master motor  132  to operate in a number of modes, including: standby, inflate, and deflate. The standby mode may refer to the master motor  132  powering off so that it does not provide any driving force to the one or more pumps. For example, when the healthcare provider is not touching an augmented image of the treatment device  106 , the pump of the master device  126  may not receive instructions to inflate or deflate one or more sections of the master device  126  and the master motor  132  may remain turned off. In the standby mode, the master device  126  may not apply pressure to the healthcare provider&#39;s body part(s) (e.g., to the healthcare provider&#39;s finger  304  via the glove device  300 ) because the healthcare provider is not in virtual contact with the treatment device  106 . Furthermore, in standby mode, the master device  126  may not transmit the master sensor data based on manipulations of the master device  126  (e.g., pressure virtually exerted from the healthcare care provider&#39;s hand to the master device  126 ) to the patient via the treatment device  106 . 
     The inflate mode may refer to the master motor  132  receiving slave sensor data comprising measurements of pressure, causing the master motor  132  to drive the one or more pumps coupled to the one or more sections of the master device  126  (e.g., one or more fingers  302 ,  304 ,  406 ,  308 ,  310 ) to inflate the one or more sections. The slave sensor data may be provided by the one or more slave sensors  108  of the treatment device  106  via the slave computing device  102 . For example, as the healthcare provider manipulates (e.g., moves) the master device  126  to virtually contact one or more body parts of the patient using the treatment device  106  in contact with the patient&#39;s one or more body parts, the treatment device  106  is manipulated. The slave sensors  108  are configured to detect the manipulation of the treatment device  106 . The detected information may include how the patient&#39;s one or more body parts respond to the manipulation. The one or more slave sensors  108  may detect that one area of the patient&#39;s body part exerts a first measured level of force and that another area of the patient&#39;s body part exerts a second measured level of force (e.g., the one area may be swollen or inconsistent with baseline measurements or expectations as compared to the other area). The master computing device  122  can receive the information from the slave sensor data and instruct the master motor  132  to drive the pump to inflate one or more sections of the master device  126 . The level of inflation of the one or more sections of the master device  126  may correlate with one or more measured levels of force detected by the treatment device  106 . The slave sensor data may include a pressure gradient. The master computing device  122  may instruct the master pressure system  130  to inflate a first section (e.g., the fingertips of the first finger  302 ) associated with the first measured level of force exerted from a left side of the knee brace  202 . The master computing device  122  may instruct the master pressure system  130  to inflate second and third sections (e.g., the fingertips of second and third fingers  304 ,  306 ) associated with second and third measured levels of force exerted from a front side of the knee brace  202 . In other words, in response to the master device  126  virtually touching the treatment device  106 , the first measured level of force may correlate with the amount of pressure applied to the healthcare provider&#39;s first finger through the first finger  302  of the master device  126 . Similarly, the second measured level of force may correlate with the amount of measured force applied by the healthcare provider&#39;s second finger through the second finger  304  of the master device  126 . The third measured level of force may correlate with the amount of measured force applied by the healthcare provider&#39;s third finger through the third finger  306  of the master device  126 . The glove device  300  can include a fourth finger  308  to provide a fourth measured level of force, a fifth finger  310  to provide a fifth measured level of force, and/or other sections, such as a palm, or any combination thereof configured to provide measured levels of force to the healthcare provider. The sections of the glove device  300  can be inflated or deflated to correlate with the same and/or different levels of measured force exerted on the treatment device  106 . 
     The deflation mode may refer to the master motor  132  receiving slave sensor data comprising measurements of pressure, causing the master motor  132  to drive the one or more pumps coupled to the one or more sections of the master device  126  (e.g., one or more fingers  302 ) to deflate the one or more sections. The deflation mode of the master pressure system  130  can function similarly as the inflation mode; however, in the deflation mode, the master pressure system  130  deflates, rather than inflates, the one or more sections of the master device  126 . For example, the one or more slave sensors  108  may detect that one area of the patient&#39;s body part exerts a first measured level of force and that another area of the patient&#39;s body part exerts a second measured level of force (e.g., the one area may be less swollen or less inconsistent with baseline measurements or expectations as compared to the other area). The master computing device  122  can receive the information from the slave sensor data and instruct the master motor  132  to drive the pump to deflate one or more sections of the master device  126 . The level of deflation of the one or more sections of the master device  126  may correlate with one or more measured levels of force detected by the treatment device  106 . 
     The measured levels of force can be transmitted between the treatment device  106  and the master device  126  in real-time, near real-time, and/or at a later time. In other words, the healthcare provider can use the master device  126  to virtually examine the patient&#39;s body part using the healthcare provider&#39;s hand and feel the patient&#39;s body part (e.g., the pressure, etc.). Similarly, the patient can feel the healthcare provider virtually touching his or her body part (e.g., from the pressure exerted by the treatment device  106 ). During the telemedicine session, the patient, via the patient portal  114 , can communicate to the healthcare provider via the clinical portal  134 . For example, during the remote examination, the patient can inform the healthcare provider that the location of the body part that the healthcare provider is virtually touching (e.g., manipulating), is painful. The information can be communicated verbally and/or visually (e.g., input into the patient portal  114  directly by the client and transmitted to the clinical portal  134  and/or the master display  136 ). The healthcare provider can receive additional information, such as temperature of the patient&#39;s body part, vital signs of the patient, any other suitable information, or any combination thereof. 
     During one or more of the inflation and deflation modes, the one or more master sensors  128  may measure force (i.e., pressure) exerted by the healthcare provider via the master device  126 . For example, one or more sections of the master device  126  may contain any suitable sensor (e.g., strain gauge load cell, piezoelectric crystal, hydraulic load cell, etc.) for measuring force exerted on the master device  126 . Further, each section  310  of the master device  126  may contain any suitable sensor for detecting whether the body part of the healthcare provider separates from contact with the master device  126 . The measured level(s) of force detected may be transmitted via the network interface card of the master device  126  to the control system (e.g., master computing device  122  and/or the master controller  138 ). As described further below, using the measured level(s) of force, the control system may modify a parameter of operating the master motor  132 . Further, the control system may perform one or more preventative actions (e.g., locking the master motor  132  to stop the pump from activating, slowing down the master motor  132 , or presenting a notification to the healthcare provider (such as via the clinical portal  134 , etc.)) when the body part is detected as being separated from the master device  126 , among other things. 
     In some embodiments, the remote examination system  100  includes the master display  136 . The master console  124  and/or the clinical portal  134  may comprise the master display  136 . The master display  136  may be configured to display the treatment device  106  and/or one or more body parts of a patient. For example, the slave computing device  102  may be operatively coupled to an imaging device  116  (e.g., a camera or any other suitable audiovisual device) and/or other sensorial or perceptive (e.g., tactile, gustatory, haptic, pressure-sensing-based or electromagnetic (e.g., neurostimulation) communication devices. Any reference herein to any particular sensorial modality shall be understood to include and to disclose by implication a different one or more sensory modalities. The slave computing device  102  can transmit, via the network  104 , real images and/or a real live-streaming video of the treatment device  106  and/or the patient, to the master display  136 . The real images and/or real video may include angles of extension and/or bend of body parts of the patient, or any other suitable characteristics of the patient. The treatment device  106  may be operatively coupled to a medical device, such as a goniometer  702 . The goniometer  702  may detect angles of extension and/or bend of body parts of the patient and transmit the measured angles to the slave computing device  102  and/or the treatment device  106 . The slave computing device  102  can transmit the measured angles to the master computing device  122 , to the master display  136 , or any other suitable device. The master display  136  can display the measured angles in numerical format, as an overlay image on the image of the treatment device  106  and/or the patient&#39;s one or more body parts, any other suitable format, or combination thereof. For example, as illustrated in  FIG. 4A , body parts (e.g., a leg and a knee) are extended at a first angle. In  FIG. 4B , the body parts are illustrated as being extended at a second angle. The master display  136  may be included in an electronic device that includes the one or more processing devices, memory devices, and/or network interface cards. 
     Depending on what result is desired, the master computing device  122  and/or a training engine  146  may be trained to output a guide map. The guide map may be overlaid on the augmented image  400 . The guide map may include one or more indicators. To guide the master device  126 , the indicators can be positioned over one or more sections  310  of the augmented image  400  of the treatment device  106 . For example, the augmented image  402  may include a first indicator (e.g., dotted lines in the shape of a fingertip) positioned over a top portion of patient&#39;s knee and a second indicator positioned over a left side of the patient&#39;s knee. The first indicator is a guide for the healthcare provider to place the first finger  302  on the first indicator and the second finger  304  on the second indicator. The guide map may comprise a pressure gradient map. The pressure gradient map can include the current measured levels of force at the location of the indicator and/or a desired measured level of force at the location of the indicator. For example, the first indicator may comprise a first color, a first size, or any other suitable characteristic to indicate a first measured level of force. The second indicator may comprise a second color, a second size, or any other suitable characteristic to indicate a second measured level of force. When the master device  126  reaches the desired measured levels of force, an alert may be provided. The alert may be a visual, audio and/or another alert. For example, the alert may comprise the indicator changing colors when the measured level of force is provided. The guide map may include one or more configurations using characteristics of the injury, the patient, the treatment plan, the recovery results, the examination results, any other suitable factors, or combination thereof. One or more configurations may be displayed during the remote examination portion of a telemedicine session. 
     The master computing device  122  and/or the training engine  146  may include one or more thresholds, such as pressure thresholds. The one or more pressure thresholds may be based on characteristics of the injury, the patient, the treatment plan, the recovery results, the examination results, the pain level, any other suitable factors, or combination thereof. For example, one pressure threshold pertaining to the pain level of the patient may include a pressure threshold level for the slave pressure system  110  not to inflate a particular section  210  more than a first measured level of force. As the pain level of the patient decreases, the pressure threshold may change such that a second measured level of force may be applied to that particular section  210 . In this case, the patient&#39;s decreased pain level may, for more optimal examination results (e.g., the second measured level of force is greater than the first measured level of force), allow for the healthcare provider to increase the measured amount of pressure applied to the patient&#39;s body part. Similarly, the master computing device  122  and/or the training engine  146  may be configured to adjust any pre-determined manipulation instructions. In this way, the manipulation instructions can be adapted to the specific patient. 
     In other embodiments, the master display  136  can display an augmented image (e.g., exemplary augmented images  400  illustrated in  FIG. 4 ), an augmented live-streaming video, a holographic image, any other suitable transmission, or any combination thereof of the treatment device  106  and/or one or more body parts of the patient. For example, the master display  136  may project an augmented image  402  representing the treatment device  106  (e.g., a knee brace  202 ). The augmented image  402  can include a representation  410  of the knee brace  202 . The augmented image  402  can include a representation  412  of one or more body parts of a patient. Using the master device  126 , the healthcare provider can place a hand on the image and manipulate the image (e.g., apply pressure virtually to one or more sections of the patient&#39;s knee via the treatment device  106 . The one or more processing devices may cause a network interface card to transmit the data to the master computing device  122  and the master computing device  122  may use the data representing pressure, temperature, and patterns of movement to track measurements taken by the patient&#39;s recovery over certain time periods (e.g., days, weeks, etc.). In  FIG. 4 , the augmented images  400  are two dimensional, but the augmented images  400  may be transmitted as three-dimensional images or as any other suitable image dimensionality. 
     The master display  136  can be configured to display information obtained from a wearable, such as the wristband  704 . The information may include motion measurements of the treatment device  106  in the X, Y, and Z directions, altitude measurements, orientation measurements, rotation measurements, any other suitable measurements, or combination thereof. The wristband  704  may be operatively coupled to an accelerometer, an altimeter, and/or a gyroscope. The accelerometer, the altimeter, and/or the gyroscope may be operatively coupled to a processing device in the wristband  704  and may transmit data to the one or more processing devices. The one or more processing devices may cause a network interface card to transmit the data to the master computing device  122  and the master computing device  122  may use the data representing acceleration, frequency, duration, intensity, and patterns of movement to track measurements taken by the patient over certain time periods (e.g., days, weeks, etc.). Executing the clinical portal  134 , the master computing device  122  may transmit the measurements to the master display  136 . Additionally, in some embodiments, the processing device of the wristband  704  may determine the measurements taken and transmit the measurements to the slave computing device  102 . The measurements may be displayed on the patient portal  114 . In some embodiments, the wristband  704  may measure heart rate by using photoplethysmography (PPG), which detects an amount of red light or green light on the skin of the wrist. For example, blood may absorb green light so when the heart beats, the blood volume flow may absorb more green light, thereby enabling heart rate detection. In some embodiments, the wristband  704  may be configured to detect temperature of the patient. The heart rate, temperature, any other suitable measurement, or any combination thereof may be sent to the master computing device  122 . 
     The master computing device  122  may present the measurements (e.g., pressure or temperature) of the body part of the patient taken by the treatment device  106  and/or the heart rate of the patient via a graphical indicator (e.g., a graphical element) on the clinical portal  134 . The measurements may be presented as a gradient map, such as a pressure gradient map or a temperature gradient map. The map may be overlaid over the image of the treatment device  106  and/or the image of the patient&#39;s body part. For example,  FIG. 4C  illustrates an exemplary augmented image  406  displaying a pressure gradient  414  over the image of the patient&#39;s body parts  412  (e.g., feet).  FIG. 4D  illustrates an exemplary augmented image  408  displaying a temperature gradient  416  over the image of the patient&#39;s body parts  412  (e.g., feet). 
     Referring back to  FIG. 1 , the remote examination system  100  may include a cloud-based computing system  142 . In some embodiments, the cloud-based computing system  142  may include one or more servers  144  that form a distributed computing architecture. Each of the servers  144  may include one or more processing devices, memory devices, data storage devices, and/or network interface cards. The servers  144  may be in communication with one another via any suitable communication protocol. The servers  144  may store profiles for each of the users (e.g., patients) configured to use the treatment device  106 . The profiles may include information about the users such as a treatment plan, the affected body part, any procedure the user had had performed on the affected body part, health, age, race, measured data from the imaging device  116 , slave sensor data, measured data from the wristband  704 , measured data from the goniometer  702 , user input received at the patient portal  114  during the telemedicine session, a level of discomfort the user experienced before and after the remote examination, before and after remote examination images of the affected body part(s), and so forth. 
     In some embodiments, the cloud-based computing system  142  may include a training engine  146  capable of generating one or more machine learning models  148 . The machine learning models  148  may be trained to generate treatment plans, procedures for the remote examination, or any other suitable medical procedure for the patient in response to receiving various inputs (e.g., a procedure via a remote examination performed on the patient, an affected body part the procedure was performed on, other health characteristics (age, race, fitness level, etc.)). The one or more machine learning models  148  may be generated by the training engine  146  and may be implemented in computer instructions executable by one or more processing devices of the training engine  146  and/or the servers  144 . 
     To generate the one or more machine learning models  148 , the training engine  146  may train the one or more machine learning models  148 . The training engine  146  may use a base data set of patient characteristics, results of remote examination(s), treatment plans followed by the patient, and results of the treatment plan followed by the patients. The results may include information indicating whether the remote examination led to an identification of the affected body part and whether the identification led to a partial recovery of the affected body part or lack of recovery of the affected body part. The results may include information indicating the measured levels of force applied to the one or more sections of the treatment device  106 . 
     The training engine  146  may be a rackmount server, a router computer, a personal computer, an Internet of Things (IoT) device, a portable digital assistant, a smartphone, a laptop computer, a tablet computer, a camera, a video camera, a netbook, a desktop computer, a media center, any other desired computing device, or any combination of the above. The training engine  146  may be cloud-based or a real-time software platform, and it may include privacy software or protocols, and/or security software or protocols. 
     The one or more machine learning models  148  may also be trained to translate characteristics of patients received in real-time (e.g., from an electronic medical records (EMR) system, from the slave sensor data, etc.). The one or more machine learning models  148  may refer to model artifacts that are created by the training engine  146  using training data that includes training inputs and corresponding target outputs. The training engine  146  may find patterns in the training data that map the training input to the target output, and generate the machine learning models  148  that capture these patterns. Although depicted separately from the slave computing device  102 , in some embodiments, the training engine  146  and/or the machine learning models  148  may reside on the slave computing device  102  and/or the master computing device  122 . 
     Different machine learning models  148  may be trained to recommend different optimal examination procedures for different desired results. For example, one machine learning model may be trained to recommend optimal pressure maps for most effective examination of a patient, while another machine learning model may be trained to recommend optimal pressure maps using the current pain level and/or pain level tolerance of a patient. 
     The machine learning models  148  may include one or more of a neural network, such as an image classifier, recurrent neural network, convolutional network, generative adversarial network, a fully connected neural network, or some combination thereof, for example. In some embodiments, the machine learning models  148  may be composed of a single level of linear or non-linear operations or may include multiple levels of non-linear operations. For example, the machine learning model may include numerous layers and/or hidden layers that perform calculations (e.g., dot products) using various neurons. 
       FIGS. 1-4  are not intended to be limiting: the remote examination system  100  may include more or fewer components than those illustrated in  FIGS. 1-4 . 
       FIG. 5  illustrates a computer-implemented method  500  for remote examination. The method  500  may be performed by the remote examination system  100 , such as at a master processing device. The processing device is described in more detail in  FIG. 6 . The steps of the method  500  may be stored in a non-transient computer-readable storage medium. 
     At step  502 , the method  500  includes the master processing device receiving slave sensor data from one or more slave sensors  108 . The master processing device may receive, via the network  104 , the slave sensor data from a slave processing device. 
     At step  504 , the master processing device can transmit an augmented image  400 . The augmented image  400  may be based on the slave sensor data. 
     At step  506 , the master processing device receives master sensor data associated with a manipulation of the master device  126 . For example, the master sensor data may include a measured level of force that the user, such as a healthcare provider, applied to the master device  126 . 
     At step  508 , the master processing device can generate a manipulation instruction. The manipulation instruction is based on the master sensor data associated with the manipulation of the master device  126 . 
     At step  510 , the master processing device transmits the manipulation instruction. The master processing device may transmit, via the network  104 , the manipulation instruction to the slave computing device  102 . 
     At step  512 , the master processing device causes the slave pressure system to activate. Using the manipulation instruction, the slave computing device  102  can cause the treatment device  106  to activate the slave pressure system  110 . For example, responsive to the manipulation instruction (e.g., to increase and/or decrease one or more measured levels of force in one or more sections of the treatment device), the slave pressure system  110  can cause the slave controller  118  to activate the slave motor  112  to inflate and/or deflate the one or more sections  210  to one or more measured levels of force. 
     At step  514 , the master processing device receives slave force measurements. The slave force measurements can include one or more measurements associated with one or more measured levels of force that the patient&#39;s body is applying to the treatment device  106 . 
     At step  516 , the master processing device uses the pressure slave measurements to activate the master pressure system  130 . For example, the master pressure system  130  can cause the master device  126  to inflate and/or deflate one or more sections  310  of the master device  126  such that the measured levels of force of the one or more sections  310  directly correlate with the one or more measured levels of force that the patient&#39;s body is applying to the one or more sections  210  of the treatment device  106 . 
       FIG. 6  illustrates a computer-implemented method  600  for remote examination. The method  600  may be performed by the remote examination system  100 , such as at a slave processing device. The processing device is described in more detail in  FIG. 6 . The steps of the method  600  may be stored in a non-transient computer-readable storage medium. 
     At step  602 , the method  600  includes the slave processing device receiving slave sensor data from one or more slave sensors  108 . The one or more slave sensors  108  may include one or more measured levels of force that the patient&#39;s body is applying to the treatment device  106 . 
     At step  604 , the slave processing device transmits the slave sensor data. The slave processing device may transmit, via the network  104 , the slave sensor data to the master computing device  122 . 
     At step  606 , the slave processing device may transmit an augmented image  400 . The augmented image  400  is based on the slave sensor data. For example, the augmented image  400  may include a representation of the treatment device  106 , one or more body parts of the patient, measured levels of force, measured levels of temperature, any other suitable information, or combination thereof. 
     At step  608 , the slave processing device receives a manipulation instruction. The manipulation instruction can be generated based on the master sensor data. 
     At step  610 , using the manipulation instruction, the slave processing device activates the slave pressure system  110 . For example, the manipulation instruction may cause the slave pressure system  110  to inflate and/or deflate one or more sections  210  of the treatment device  106  to correlate with one or more levels of force applied to one or more sections  310  of the master device  126 . 
     At step  612 , the slave processing device receives slave force measurements. The slave force measurements can include one or more measured levels of force exerted by the patient&#39;s body to the treatment device  106 . 
     At step  614 , the slave processing device transmits the slave force measurements, such as to the master processing device. 
     At step  616 , using the slave force measurements, the slave processing device causes a master pressure system  130  to activate. For example, the master pressure system  130  can cause the master device  126  to inflate and/or deflate one or more sections  310  of the master device  126  such that the measured levels of force of the one or more sections  310  correlate with the one or more measured levels of force that the patient&#39;s body is applying to the one or more sections  210  of the treatment device  106 . 
       FIGS. 5-6  are not intended to be limiting: the methods  500 ,  600  can include more or fewer steps and/or processes than those illustrated in  FIGS. 5-6 . Further, the order of the steps of the methods  500 ,  600  is not intended to be limiting; the steps can be arranged in any suitable order. Any or all of the steps of methods  500 ,  600  may be implemented during a telemedicine session or at any other desired time. 
       FIG. 7  illustrates a high-level component diagram of an illustrative architecture of system  700  for enabling remote adjustment of a device, such as during a telemedicine session, according to certain aspects of this disclosure. The system  700  may include one or more components of  FIG. 1  that have been described above. Any component or combination of the components illustrated in the system  700  may be included in and/or used in connection with the examination system  100 . The system  100  and/or the system  700  is not limited to use in the medical field. 
     In some embodiments, the system  700  may include a slave computing device  102  communicatively coupled to a treatment device  800 , such as an electromechanical device  802 , a goniometer  702 , a wristband  810 , and/or pedals  810  of the electromechanical device  802 . Each of the computing device  102 , the electromechanical device  802 , the goniometer  702 , the wristband  810 , and the pedals  810  may include one or more processing devices, memory devices, and network interface cards. The network interface cards may enable communication via a wireless protocol for transmitting data over short distances, such as Bluetooth, ZigBee, etc. In some embodiments, the computing device  102  is communicatively coupled to the electromechanical device  802 , goniometer  702 , the wristband  810 , and/or the pedals  810  via Bluetooth. 
     The patient portal  114  may present various screens to a user that enable the user to view a treatment plan, initiate a pedaling session of the treatment plan, control parameters of the electromechanical device  802 , view progress of rehabilitation during the pedaling session, and so forth as described in more detail below. The computing device  102  may also include instructions stored on the one or more memory devices that, when executed by the one or more processing devices of the computing device  102 , perform operations to control the electromechanical device  802 . 
     The clinical portal  134  may present various screens to a healthcare provider, such as a physician that enable the physician to create a treatment plan for a patient, view progress of the user throughout the treatment plan, view measured properties (e.g., angles of bend/extension, force exerted on pedals  810 , heart rate, steps taken, images of the affected body part) of the user during sessions of the treatment plan, view properties (e.g., modes completed, revolutions per minute, etc.) of the electromechanical device  802  during sessions of the treatment plan. The treatment plan specific to a patient may be transmitted via the network  104  to the cloud-based computing system  142  for storage and/or to the computing device  102  so the patient may begin the treatment plan. The healthcare provider can adjust the treatment plan during a session of the treatment plan in real-time or near real-time. For example, the healthcare provider may be monitoring the patient while the patient is using the electromechanical device  802  and, by using the measured properties, the healthcare provider may adjust the treatment plan and transmit the adjusted treatment plan to control at least one operation of the electromechanical device  802 . The treatment plan and/or an adjusted treatment plan can include parameters for operation of the electromechanical device  802 . If the patient is operating the electromechanical device  802  such that the operations are not within the parameters, a trigger condition may occur, and may be detected or enabled to be detected. In any of the forgoing cases, the one or more processors can control at least one operation of the electromechanical device  102 . The automated control can function as a safety feature for the patient as the control mitigates the patient&#39;s risk of further injury. 
     The electromechanical device  802  may be an adjustable pedaling device for exercising, strengthening, and rehabilitating arms and/or legs of a user. The electromechanical device  802  may include at least one or more motor controllers  804 , one or more electric motors  806 , and one or more radially-adjustable couplings  808 . Two pedals  810  may be coupled to two radially-adjustable couplings  808  via left and right pedal assemblies that each include respective stepper motors. The motor controller  804  may be operatively coupled to the electric motor  806  and configured to provide commands to the electric motor  806  to control operation of the electric motor  806 . The motor controller  804  may include any suitable microcontroller including a circuit board having one or more processing devices, one or more memory devices (e.g., read-only memory (ROM) and/or random access memory (RAM)), one or more network interface cards, and/or programmable input/output peripherals. The motor controller  804  may provide control signals or commands to drive the electric motor  806 . The electric motor  806  may be powered to drive one or more radially-adjustable couplings  808  of the electromechanical device  802  in a rotational manner. The electric motor  806  may provide the driving force to rotate the radially-adjustable couplings  808  at configurable speeds. The couplings  808  are radially-adjustable in that a pedal  810  attached to the coupling  808  may be adjusted to a number of positions on the coupling  808  in a radial fashion. Further, the electromechanical device  802  may include current shunt to provide resistance to dissipate energy from the electric motor  806 . As such, the electric motor  806  may be configured to provide resistance to rotation of the radially-adjustable couplings  808 . 
     The computing device  102  may be communicatively connected to the electromechanical device  802  via the network interface card on the motor controller  804 . The computing device  102  may transmit commands to the motor controller  804  to control the electric motor  806 . The network interface card of the motor controller  804  may receive the commands and transmit the commands to the electric motor  806  to drive the electric motor  806 . In this way, the computing device  102  is operatively coupled to the electric motor  806 . 
     The computing device  102  and/or the motor controller  804  may be referred to as a control system herein. The patient portal  114  may be referred to as a user interface of the control system herein. The control system may control the electric motor  806  to operate in a number of modes: passive, active-assisted, resistive, and active. The passive mode may refer to the electric motor  806  independently driving the one or more radially-adjustable couplings  808  rotationally coupled to the one or more pedals  810 . In the passive mode, the electric motor  806  may be the only source of driving force on the radially-adjustable couplings. That is, the user may engage the pedals  810  with their hands or their feet and the electric motor  806  may rotate the radially-adjustable couplings  808  for the user. This may enable moving the affected body part and stretching the affected body part without the user exerting excessive force. 
     The active-assisted mode may refer to the electric motor  806  receiving measurements of revolutions per minute of the one or more radially-adjustable couplings  808 , and causing the electric motor  806  to drive the one or more radially-adjustable couplings  808  rotationally coupled to the one or more pedals  810  when the measured revolutions per minute satisfy a parameter (e.g., a threshold condition). The threshold condition may be configurable by the user and/or the physician. The electric motor  806  may be powered off while the user provides the driving force to the radially-adjustable couplings  808  as long as the revolutions per minute are above a revolutions per minute threshold and the threshold condition is not satisfied. When the revolutions per minute are less than the revolutions per minute threshold then the threshold condition is satisfied and the electric motor  806  may be controlled to drive the radially-adjustable couplings  808  to maintain the revolutions per minute threshold. 
     The resistive mode may refer to the electric motor  806  providing resistance to rotation of the one or more radially-adjustable couplings  808  coupled to the one or more pedals  810 . The resistive mode may increase the strength of the body part being rehabilitated by causing the muscle to exert force to move the pedals against the resistance provided by the electric motor  806 . 
     The active mode may refer to the electric motor  806  powering off to provide no driving force assistance to the radially-adjustable couplings  808 . Instead, in this mode, the user provides the sole driving force of the radially-adjustable couplings using their hands or feet, for example. 
     During one or more of the modes, each of the pedals  810  may measure force exerted by a part of the body of the user on the pedal  810 . For example, the pedals  810  may each contain any suitable sensor (e.g., strain gauge load cell, piezoelectric crystal, hydraulic load cell, etc.) for measuring force exerted on the pedal  810 . Further, the pedals  810  may each contain any suitable sensor for detecting whether the body part of the user separates from contact with the pedals  810 . In some embodiments, the measured force may be used to detect whether the body part has separated from the pedals  810 . The force detected may be transmitted via the network interface card of the pedal  810  to the control system (e.g., computing device  102  and/or motor controller  804 ). As described further below, the control system may modify a parameter of operating the electric motor  806  based on the measured force. Further, the control system may perform one or more preventative actions (e.g., locking the electric motor  120  to stop the radially-adjustable couplings  808  from moving, slowing down the electric motor  806 , presenting a notification to the user, etc.) when the body part is detected as separated from the pedals  810 , among other things. 
     The goniometer  702  may be configured to measure angles of extension and/or bend of body parts and transmit the measured angles to the computing device  102  and/or the computing device  134 . The goniometer  702  may be included in an electronic device that includes the one or more processing devices, memory devices, and/or network interface cards. The goniometer  702  may be disposed in a cavity of a mechanical brace. The cavity of the mechanical brace may be located near a center of the mechanical brace where the mechanical brace affords to bend and extend. The mechanical brace may be configured to secure to an upper body part (e.g., arm, etc.) and a lower body part (e.g., leg, etc.) to measure the angles of bend as the body parts are extended away from one another or retracted closer to one another. 
     The wristband  810  may include a 3-axis accelerometer to track motion in the X, Y, and Z directions, an altimeter for measuring altitude, and/or a gyroscope to measure orientation and rotation. The accelerometer, altimeter, and/or gyroscope may be operatively coupled to a processing device in the wristband  810  and may transmit data to the processing device. The processing device may cause a network interface card to transmit the data to the computing device  102  and the computing device  102  may use the data representing acceleration, frequency, duration, intensity, and patterns of movement to track steps taken by the user over certain time periods (e.g., days, weeks, etc.). The computing device  102  may transmit the steps to the master computing device  134  executing a clinical portal  134 . Additionally, in some embodiments, the processing device of the wristband  810  may determine the steps taken and transmit the steps to the computing device  102 . In some embodiments, the wristband  810  may use photoplethysmography (PPG) to measure heart rate that detects an amount of red light or green light on the skin of the wrist. For example, blood may absorb green light so when the heart beats, the blood flow may absorb more green light, thereby enabling detecting heart rate. The heart rate may be sent to the computing device  102  and/or the computing device  134 . 
     The computing device  102  may present the steps taken by the user and/or the heart rate via respective graphical element on the patient portal  114 , as discussed further below. The computing device may also use the steps taken and/or the heart rate to control a parameter of operating the electromechanical device  802 . For example, if the heart rate exceeds a target heart rate for a pedaling session, the computing device  102  may control the electric motor  806  to reduce resistance being applied to rotation of the radially-adjustable couplings  808 . In another example, if the steps taken are below a step threshold for a day, the treatment plan may increase the amount of time for one or more modes in which the user is to operate the electromechanical device  802  to ensure the affected body part is getting sufficient movement. 
     In some embodiments, the cloud-based computing system  142  may include one or more servers  144  that form a distributed computing architecture. Each of the servers  144  may include one or more processing devices, memory devices, data storage, and/or network interface cards. The servers  144  may be in communication with one another via any suitable communication protocol. The servers  144  may store profiles for each of the users that use the electromechanical device  802 . The profiles may include information about the users such as a treatment plan, the affected body part, any procedure the user had performed on the affected body part, health, age, race, measured data from the goniometer  702 , measured data from the wristband  810 , measured data from the pedals  810 , user input received at the patient portal  114  during operation of any of the modes of the treatment plan, a level of discomfort, comfort, or general patient satisfaction that the user experiences before and after any of the modes, before and after session images of the affected body part, and so forth. 
     In some embodiments the cloud-based computing system  142  may include a training engine  130  that is capable of generating one or more machine learning models  132 . The one or more machine learning models  132  may be generated by the training engine  130  and may be implemented in computer instructions that are executable by one or more processing device of the training engine  130  and/or the servers  144 . To generate the one or more machine learning models  132 , the training engine  130  may train the one or more machine learning models  132 . The training engine  130  may use a base data set of patient characteristics, treatment plans followed by the patient, and results of the treatment plan followed by the patients. The results may include information indicating whether the treatment plan led to full recovery of the affected body part, partial recovery of the affected body part, or lack of recovery of the affected body part. The one or more machine learning models  132  may refer to model artifacts that are created by the training engine  130  using training data that includes training inputs and corresponding target outputs. The training engine  130  may find patterns in the training data that map the training input to the target output, and generate the machine learning models  132  that capture these patterns. Although depicted separately from the computing device  102 , in some embodiments, the training engine  130  and/or the machine learning models  132  may reside on the computing device  102  and/or the computing device  134 . 
     As illustrated in  FIGS. 8 and 11-12 , the treatment device  106  may comprise an electromechanical device, such as a physical therapy device.  FIG. 8  illustrates a perspective view of an example of a treatment device  800  according to certain aspects of this disclosure. Specifically, the treatment device  800  illustrated is an electromechanical device  802 , such as an exercise and rehabilitation device (e.g., a physical therapy device or the like). The electromechanical device  802  is shown having pedal  810  on opposite sides that are adjustably positionable relative to one another on respective radially-adjustable couplings  808 . The depicted electromechanical device  802  is configured as a small and portable unit so that it is easily transported to different locations at which rehabilitation or treatment is to be provided, such as at patients&#39; homes, alternative care facilities, or the like. The patient may sit in a chair proximate the electromechanical device  802  to engage the electromechanical device  802  with the patient&#39;s feet, for example. The electromechanical device  802  includes a rotary device such as radially-adjustable couplings  808  or flywheel or the like rotatably mounted such as by a central hub to a frame or other support. The pedals  810  are configured for interacting with a patient to be rehabilitated and may be configured for use with lower body extremities such as the feet, legs, or upper body extremities, such as the hands, arms, and the like. For example, the pedal  810  may be a bicycle pedal of the type having a foot support rotatably mounted onto an axle with bearings. The axle may or may not have exposed end threads for engaging a mount on the radially-adjustable coupling  808  to locate the pedal on the radially-adjustable coupling  808 . The radially-adjustable coupling  808  may include an actuator configured to radially adjust the location of the pedal to various positions on the radially-adjustable coupling  808 . 
     Alternatively, the radially-adjustable coupling  808  may be configured to have both pedals  810  on opposite sides of a single coupling  808 . In some embodiments, as depicted, a pair of radially-adjustable couplings  808  may be spaced apart from one another but interconnected to the electric motor  806 . In the depicted example, the computing device  102  may be mounted on the frame of the electromechanical device  802  and may be detachable and held by the user while the user operates the electromechanical device  802 . The computing device  102  may present the patient portal  114  and control the operation of the electric motor  806 , as described herein. 
     In some embodiments, as described in U.S. Pat. No. 10,173,094 (U.S. application Ser. No. 15/700,293), which is incorporated by reference herein in its entirety for all purposes, the treatment device  106  may take the form of a traditional exercise/rehabilitation device which is more or less non-portable and remains in a fixed location, such as a rehabilitation clinic or medical practice. The treatment device  106  may include a seat and is less portable than the treatment device  106  shown in  FIG. 8 .  FIG. 8  is not intended to be limiting: the treatment device  800  may include more or fewer components than those illustrated in  FIG. 8 . 
       FIGS. 11-12  generally illustrate an embodiment of a treatment device, such as a treatment device  10 . More specifically,  FIG. 11  generally illustrates a treatment device  10  in the form of an electromechanical device, such as a stationary cycling machine  14 , which may be called a stationary bike, for short. The stationary cycling machine  14  includes a set of pedals  12  each attached to a pedal arm  20  for rotation about an axle  16 . In some embodiments, and as generally illustrated in  FIG. 11 , the pedals  12  are movable on the pedal arm  20  in order to adjust a range of motion used by the patient in pedaling. For example, the pedals being located inwardly toward the axle  16  corresponds to a smaller range of motion than when the pedals are located outwardly away from the axle  16 . A pressure sensor  18  is attached to or embedded within one of the pedals  12  for measuring an amount of force applied by the patient on the pedal  102 . The pressure sensor  18  may communicate wirelessly to the treatment device  10  and/or to the patient interface  26 .  FIGS. 11-12  are not intended to be limiting: the treatment device  10  may include more or fewer components than those illustrated in  FIGS. 11-12 . 
       FIG. 13  generally illustrates a person (a patient) using the treatment device of  FIG. 11 , and showing sensors and various data parameters connected to a patient interface  26 . The example patient interface  26  is a tablet computer or smartphone, or a phablet, such as an iPad, an iPhone, an Android device, or a Surface tablet, which is held manually by the patient. In some other embodiments, the patient interface  26  may be embedded within or attached to the treatment device  10 .  FIG. 13  generally illustrates the patient wearing the ambulation sensor  22  on his wrist, with a note showing “STEPS TODAY 1355”, indicating that the ambulation sensor  22  has recorded and transmitted that step count to the patient interface  26 .  FIG. 13  also generally illustrates the patient wearing the goniometer  24  on his right knee, with a note showing “KNEE ANGLE 72°”, indicating that the goniometer  24  is measuring and transmitting that knee angle to the patient interface  26 .  FIG. 13  generally illustrates a right side of one of the pedals  12  with a pressure sensor  18  showing “FORCE 12.5 lbs.”, indicating that the right pedal pressure sensor  18  is measuring and transmitting that force measurement to the patient interface  26 .  FIG. 13  also generally illustrates a left side of one of the pedals  12  with a pressure sensor  18  showing “FORCE 27 lbs.”, indicating that the left pedal pressure sensor  18  is measuring and transmitting that force measurement to the patient interface  26 .  FIG. 13  also generally illustrates other patient data, such as an indicator of “SESSION TIME 0:04:13”, indicating that the patient has been using the treatment device  10  for 4 minutes and 13 seconds. This session time may be determined by the patient interface  26  based on information received from the treatment device  10 .  FIG. 13  also generally illustrates an indicator showing “PAIN LEVEL 3”, Such a pain level may be obtained from the patient in response to a solicitation, such as a question, presented upon the patient interface  26 . 
       FIG. 9  illustrates a computer-implemented method  900  for enabling a remote adjustment of a device. The device may be a treatment device, such as the treatment device  800 , the device  10 , or any other desired device. The device may comprise at least one of a physical therapy device (e.g., the rehabilitation device  802 ), a brace (e.g., the brace  202 ), a cap (e.g., the cap  204 ), a mat (e.g., the mat  206 ), a wrap (e.g., the wrap  208 ), a treatment device (e.g., the treatment device  10 , the treatment device  106 , the stationary cycling machine  14 , or the like), any other suitable device, or combination thereof. The device may be configured to be manipulated by a user while the user performs a treatment plan. The method  900  may be performed at a processing device operatively coupled to the remote examination system  100 , the system  800 , or any combination thereof. For example, the method may be performed using a patient interface comprising an output device configured to present telemedicine information associated with a telemedicine session. The steps of the method  900  may be stored in a non-transient computer-readable storage medium. 
     A healthcare provider can use information obtained from an examination of a patient to determine a proper treatment plan for the patient. Using the systems  100 ,  800 , the healthcare provider can conduct a remote physical examination of the one or more body parts of the patient and/or view results of an exercise, rehabilitation, or other session to provide a treatment plan for the patient. For example, the healthcare provider can conduct the remote physical examination during a telemedicine session. 
     At step  902 , the method  900  includes receiving a treatment plan for a patient. The treatment plan can be received from a clinical portal  134 . For example, the healthcare provider may input a treatment plan into the clinical portal  134 , which in turn can transmit the treatment plan to the slave computing device  102  and the treatment device  106 ,  800 . For example, the transmission of the treatment plan can be transmitted during a telemedicine session or at another desired time. 
     At step  904 , the method  900  includes using the treatment plan to generate at least one parameter. The at least one parameter may be generated during a telemedicine session or at another desired time. The treatment plan may include a plan to treat a patient (e.g., prehabilitation, rehabilitation, or the like). The plan may include patient information (e.g., patient health history, characteristics of an injury, etc.), one or more types of exercises, a schedule of when and for how long to perform the exercises, at least one threshold that the patient should meet and/or not exceed, any other suitable information, or combination thereof. The processing device can use the information in the treatment plan to generate the at least one parameter. For example, the at least one parameter may be a measurable threshold or threshold ranges of data to be detected by the sensor(s) relating to the patient (e.g., pain level, vital signs, etc.) or to the operation of the treatment device  106 ,  800  (e.g., volume of sections  210 , revolutions per minute, angle of the pedals  810 , etc.). The at least one parameter can be at least one of a force parameter, a resistance parameter, a range of motion parameter, a temperature parameter, a pain level parameter, an exercise session parameter, a vital sign parameter, a time parameter, any other suitable parameter, or combination thereof. In one example, the force parameter may be based on characteristics of the injury, the patient, the treatment plan, the recovery results, the examination results, the pain level, any other suitable factors, or combination thereof. The force parameter may pertain to the pain level of the patient and include a measured level of force for the patient to exert on the pedals  810 . The resistance parameter may be a parameter pertaining to a measured amount of resistance that the motor  806  applies to the pedals  810  during a cycling session. The range of motion parameter may be a parameter pertaining to a measured range of motion of a patient&#39;s body part (e.g., a knee). The temperature parameter may be a parameter pertaining to a measured temperature of the patient or the patient&#39;s body part. The pain level parameter may be a parameter pertaining to a level of pain that the patient reports or experiences before, during, or after the patient uses the treatment device  800 . The exercise session parameter may be a parameter pertaining to a type of exercise, a number of steps that the patient has taken during the day and/or during an exercise session, or any other suitable exercise information. The exercise session can include a session for any purpose, including rehabilitation, prehabilitation, exercise, strength training, endurance training, any other type of exercise, or combination thereof. The vital sign parameter may be a parameter pertaining to a measurement of the patient&#39;s heart rate, pulse rate, blood pressure, respiration rate, or any other vital sign. The time parameter may be a parameter pertaining to an amount of time (e.g., minutes) for which the patient should engage in an exercise session, an amount of time (e.g., hours) between exercise sessions, any other suitable time measurements, or combination thereof. 
     At step  906 , the method  900  includes receiving data correlating with at least one operation of the device. The data may be received during a telemedicine session or at another desired time. The device may comprise one or more sensors for detecting data correlating with the at least one operation. Examples of the measured properties may include, but are not limited to, angles of bend/extension, pressure exerted on the device, the speed of rotating the device (e.g., pedaling speed), the amount of resistance (e.g., pedal resistance), the distance the patient has traveled (e.g., cycled, walked, etc.), the number of steps the patient has taken, images of the examined/treated body part, and vital signs of the patient, such as heart rate and temperature. The data can be received from the one or more sensors in real-time or near real-time. 
     At step  908 , the method  900  includes determining if a trigger condition has occurred. The trigger may be determined during a telemedicine session or at another desired time. A trigger condition is a condition that occurs when at least one of the data, the at least one parameter, a patient input, any other suitable information, or combination thereof is outside of the at least one parameter. Patient input may include a pain level, a pain tolerance, a weight, or any other suitable information from the patient. In one embodiment, the processing device may use the measured heart rate to determine if the heart rate is outside of the vital sign parameter (e.g., above and/or below a heart rate threshold). In another example, the processing device may use the counted number of steps taken to determine if the number of steps taken is outside of the exercise session parameter (e.g., above and/or below a step threshold). If one or more measurements are outside of the respective parameters (e.g., if the patient&#39;s heart rate is above the heart rate threshold, if the number of steps the patient has taken during the day is below the step threshold), a trigger condition has occurred. Patient input may be received during a telemedicine session or at another desired time. 
     At step  910 , responsive to at least one trigger condition occurring, the method  900  proceeds with controlling at least one operation of the device. The processing device may control the operation of the device (e.g., the treatment device  106 ,  800 ). The processing device may control the operation of the device during a telemedicine session or at another desired time. The controlling of the at least one operation of the device can include causing the device to modify at least one of a volume, a pressure, a resistance, an angle, a speed, an angular or rotational velocity, and a time period. The modification may include not just a value but also a constraint, limitation, maximum, minimum, etc. For example, if the heart rate of the patient exceeds a vital sign parameter for a pedaling session, the computing device  102  may control the electric motor  806  to reduce the resistance being applied to the rotation of the radially-adjustable couplings  808 . The motor controller  804  may be operatively coupled to the electric motor  806  and configured to provide commands to the electric motor  806  to control operation of the electric motor  806 . In another example, if a volume of a section  210  of the treatment device  106  exceeds the volume parameter, the processing device may control the treatment device  106  to deflate the section  210  to a volume within the volume parameter. In this example, if the measured level of volume exceeds the volume parameter, the excess pressure that the treatment device  106  may be exerting on the patient may cause the patient pain or discomfort, and thus, the processing device is configured to adjust the volume (e.g., decrease the volume) to decrease the pressure exerted on the patient. 
     At step  912 , the method  900  proceeds with transmitting a notification to a clinical portal. The notification may be transmitted during a telemedicine session or at another desired time. The notification may include results of an exercise session, the patient&#39;s recovery results, the vital sign(s), the pain level, input from the patient, any other suitable information, or combination thereof. The notification can be transmitted to the clinical portal  134  in real-time, in near real-time, before or after an exercise session, at any other suitable time, or combination thereof. The notification can assist the healthcare provider in assessing the patient&#39;s treatment plan and making any adjustments to the treatment plan that may optimize the patient&#39;s treatment (i.e., to decrease the patient&#39;s recovery time; to increase the patient&#39;s strength, range of motion, and flexibility, etc.). 
     At step  914 , the method  900  proceeds with receiving at least one adjusted parameter. The parameter may be received during a telemedicine session or at another desired time. The healthcare provider may input the at least one adjusted parameter to the clinical portal  134  for transmitting to the patient portal  114 , the treatment device  106 ,  800 , the slave computing device  102 , or any combination thereof. For example, while using the rehabilitation device  802  over the course of a few days, if the patient is not within the time parameter (e.g., not exercising for a long enough period of time) and if the patient&#39;s pain level exceeds a pain level parameter, the healthcare provider may adjust the time parameter (e.g., to decrease the amount of time for the exercise) and adjust the force parameter (e.g., to increase the level of motor assistance for a cycling exercise). Such adjustments may result in improved patient compliance with the treatment plan and decrease the patient&#39;s recovery time. The at least one adjusted parameter can be received in real-time, in near real-time, prior to an exercise session, at any other suitable time, or any combination thereof. For example, the healthcare provider may be remotely reviewing the notification(s) in real-time or near real-time while a patient is engaging in an exercise session and/or after the patient has finished the exercise session. As an example, the healthcare provider may upload the treatment plan, the adjusted treatment plan, and/or the adjusted parameter one day and the patient may use the device at a later time, such as later in the day, the following morning, the following day, or the following week, etc. 
     In another embodiment, the method  900  receives an adjusted treatment plan, such as from the clinical portal  134 . The adjusted treatment plan may be received during a telemedicine session or at another desired time. The adjusted treatment plan may include at least some different information from the treatment plan. For example, the doctor may have used the notification, client input, results from the exercise session, any other suitable information, or combination thereof to make a change to the treatment plan. The processing device may use the adjusted treatment plan to generate an adjusted parameter. 
     At step  916 , the method  900  proceeds with using the at least one adjusted parameter to control the at least one operation of the device. The at least one adjusted parameter may be used to control the at least one operation of the device during a telemedicine session or at another desired time. In one example, if the steps taken by a patient are below an exercise session parameter (e.g., a step threshold for a day), the exercise session parameter may be adjusted to increase the amount of time for one or more modes in which the patient is to operate the electromechanical device  802  to ensure the affected body part is getting sufficient movement. The at least one adjusted parameter can be used in real-time or near real-time to control the at least one operation of the device. For example, if the healthcare provider is remotely observing the patient during the exercise session (e.g., reviewing the results of the exercise session, notifications, etc.) and provides an adjusted parameter while the patient is using the device, the at least one operation of the electromechanical device  802  can be adjusted in real-time or near real-time (e.g., providing motor assist while the patient is cycling). The at least one adjusted parameter can be received prior to the patient operating the device to control the at least one operation of the device at a time subsequent to receiving the at least one adjusted parameter. For example, the healthcare provider may determine that the patient is recovering and adjust one or more parameters (e.g., increase motor resistance on the pedals  810 ) to increase the intensity of the workout so that the patient can rebuild muscle strength and recover more quickly. 
       FIG. 9  is not intended to be limiting: the method  900  can include more or fewer steps and/or processes than those illustrated in  FIG. 9 . Further, the order of the steps of the method  900  is not intended to be limiting; the steps can be arranged in any suitable order. 
       FIG. 10  illustrates, in accordance with one or more aspects of the present disclosure, an example computer system  1000  which can perform any one or more of the methods described herein. The computer system  1000  may correspond to the slave computing device  102  (e.g., a patient&#39;s computing device), the master computing device  122  (e.g., a healthcare provider&#39;s computing device), one or more servers of the cloud-based computing system  142 , the training engine  146 , the server  144 , the slave pressure system  110 , the master pressure system  130 , the slave controller  118 , the master controller  138 , the imaging device  116 , the master display  136 , the treatment device  106 , the master device  126 , the master console  124 , the treatment device  800 , the motor controller  804 , the electric motor  806 , the radially-adjustable couplings  808 , the pedals  810 , the goniometer  702 , and/or the wristband  704  illustrated in  FIGS. 1 and/or 7 . The computer system  1000  may be capable of executing the patient portal  114  and/or clinical portal  134  of  FIGS. 1 and 7 . The computer system  1000  may be connected (e.g., networked) to other computer systems in a LAN, an intranet, an extranet, or the Internet. The computer system  1000  may operate in the capacity of a server in a client-server network environment. The computer system may be a personal computer (PC), a tablet computer, a motor controller, a goniometer (e.g., the goniometer  702 ), a wearable (e.g., the wristband  704 ), a set-top box (STB), a personal Digital Assistant (PDA), a mobile phone, a camera, a video camera, or any device capable of executing a set of instructions (sequential or otherwise) that specify actions to be taken by that device. Further, while only a single computer system is illustrated, the term “computer” shall also be taken to include any collection of computers that individually or jointly execute a set (or multiple sets) of instructions to perform any one or more of the methods discussed herein. 
     The computer system  1000  includes a processing device  1002  (e.g., the slave processing device, the master processing device), a main memory  1004  (e.g., read-only memory (ROM), flash memory, dynamic random access memory (DRAM) such as synchronous DRAM (SDRAM)), a static memory  1006  (e.g., flash memory, static random access memory (SRAM)), and a data storage device  1008 , which communicate with each other via a bus  1010 . 
     The processing device  1002  represents one or more general-purpose processing devices such as a microprocessor, central processing unit, or the like. More particularly, the processing device  1002  may be a complex instruction set computing (CISC) microprocessor, reduced instruction set computing (RISC) microprocessor, very long instruction word (VLIW) microprocessor, or a processor implementing other instruction sets or processors implementing a combination of instruction sets. The processing device  1002  may also be one or more special-purpose processing devices such as an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), a digital signal processor (DSP), network processor, or the like. The processing device  1002  is configured to execute instructions for performing any of the operations and steps discussed herein. 
     The computer system  1000  may further include a network interface device  1012 . The computer system  1000  also may include a video display  1014  (e.g., a liquid crystal display (LCD), a light-emitting diode (LED), an organic light-emitting diode (OLED or Organic LED), or a cathode ray tube (CRT)). The video display  1014  can represent the master display  136  or any other suitable display. The computer system  1000  may include one or more input devices  1016  (e.g., a keyboard, a mouse, the goniometer  702 , the wristband  704 , the imaging device  116 , or any other suitable input). The computer system  1000  may include one or more output devices (e.g., a speaker  1018 ). In one illustrative example, the video display  1014 , the input device(s)  1016 , and/or the speaker  1018  may be combined into a single component or device (e.g., an LCD touch screen). 
     The data storage device  1008  may include a computer-readable medium  1020  on which the instructions  1022  (e.g., implementing the control system, the patient portal  114 , the clinical portal  134 , and/or any functions performed by any device and/or component depicted in the FIGS. and described herein) embodying any one or more of the methodologies or functions described herein are stored. The instructions  1022  may also reside, completely or at least partially, within the main memory  1004  and/or within the processing device  1002  during execution thereof by the computer system  1000 . As such, the main memory  1004  and the processing device  1002  also constitute computer-readable media. The instructions  1022  may further be transmitted or received over a network via the network interface device  1012 . 
     While the computer-readable storage medium  1020  is shown in the illustrative examples to be a single medium, the term “computer-readable storage medium” should be taken to include a single medium or multiple media (e.g., a centralized or distributed database, and/or associated caches and servers) that store the one or more sets of instructions. The term “computer-readable storage medium” shall also be taken to include any medium capable of storing, encoding or carrying a set of instructions for execution by the machine and that cause the machine to perform any one or more of the methodologies of the present disclosure. The term “computer-readable storage medium” shall accordingly be taken to include, but not be limited to, solid-state memories, optical media, and magnetic media. 
     In one exemplary embodiment, the computer system  1000  includes the input device  1016  (e.g., the master console  124  comprising the master device  126 ) and the control system comprising the processing devices  1002  (e.g., the master processing device) operatively coupled to the input device  1016  and the treatment device  106 . The system  1000  may comprise one or more memory devices (e.g., main memory  1004 , data storage device  1008 , etc.) operatively coupled to the processing device  1002 . The one or more memory devices can be configured to store instructions  1022 . The processing device  1002  can be configured to execute the instructions  1022  to receive the slave sensor data from the one or more slave sensors  108 , to use a manipulation of the master device  126  to generate a manipulation instruction, to transmit the manipulation instruction, and to use the manipulation instruction to cause the slave pressure system  110  to activate. The instructions can be executed in real-time or near real-time. 
     The processing device  1002  can be further configured to use the slave sensor data to transmit an augmented image  400  to the video display (e.g., the master display  136 ). The healthcare provider may view the augmented image  400  and/or virtually touch the augmented image using the video display  1014 . In other words, the augmented image  400  may comprise a representation of the treatment device  106  and one or more body parts of the patient. The representation may be displayed in 2D, 3D, or any other suitable dimension. As the healthcare provider conducts the remote examination during a telemedicine session, the augmented image  400  may change to reflect the manipulations of the treatment device  106  and/or of any movement of the patient&#39;s one or more body parts. 
     The augmented image  400  can comprise one or more pressure indicators, temperature indicators, any other suitable indicator, or combination thereof. Each pressure indicator can represent a measured level of force (i.e., based on the slave force measurements). Each temperature indicator can represent a measured level of temperature (i.e., based on the slave temperature measurements). For example, the pressure indicators and/or the temperature indicators may be different colors, each color associated with one of the measured levels of force and temperature, respectively. The indicators may be displayed as a map. The map may be a gradient map displaying the pressure indicators and/or temperature indicators. The map may be overlaid over the augmented image. The map may be transmitted to the clinical portal, the master display, the patient portal, any other suitable display, or combination thereof. 
     The processing device  1002  can be further configured to use the slave sensor data (e.g., the slave force measurements) to provide a corresponding level of measured force to the master device  126 . In other words, while using the master device  126 , the healthcare provider can essentially feel the measured levels of force exerted by the patient&#39;s one or more body parts during the remote examination. 
     As the healthcare provider is virtually examining the patient, the processing device  1002  can use the master sensor data to generate and transmit the manipulation instruction (e.g., a measured level of force) to manipulate the treatment device  106 . In other words, as the healthcare provider applies more force pressure) to the master device  126 , the master sensors  128  can detect the measured level of force and instruct the treatment device  106  to apply a correlated measured level of force. In some embodiments, the measured level of force can be based on a proximity of the master device  126  to the representation. In other words, as the healthcare provider manipulates the master device  126  closer to the representation and/or within the representation of the treatment device  126  and/or the patient&#39;s one or more body parts, the master sensors  128  can detect that the measured force has increased. In some embodiments, the input device  1016  can comprise a pressure gradient. Using the pressure gradient, the processing device  1002  can be configured to cause the slave pressure system  110  to apply one or more measured levels of force to one or more sections  210  of the treatment device  106 . 
     In another exemplary embodiment, the computer system  1000  may include the input device  1016  (e.g., the treatment device  106 ) and the control system comprising the processing device  1002  (e.g., the slave processing device) operatively coupled to the input device  1016  and the master device  126 . The system  1000  may comprise one or more memory devices (e.g., main memory  1004 , data storage device  1008 , etc.) operatively coupled to the processing device  1002 . The one or more memory devices can be configured to store instructions  1022 . The processing device  1002  can be configured to execute the instructions  1022  to receive the slave sensor data from the one or more slave sensors  108 , to transmit the slave sensor data, to receive the manipulation instruction, and to use the manipulation instruction to activate the slave pressure system  110 . The instructions can be executed in real-time or near real-time. 
     In yet another embodiment, the computer system  1000  may include one or more input devices  1016  (e.g., the master console  124  comprising the master device  126 , the treatment device  106 , etc.) and the control system comprising one or more processing devices  1002  (e.g., the master processing device, the slave processing device) operatively coupled to the input devices  1016 . For example, the master processing device may be operatively coupled to the master console  124  and the slave processing device may be operatively coupled to the treatment device  106 . The system  1000  may comprise one or more memory devices (e.g., master memory coupled to the master processing device, slave memory coupled to the slave processing device, etc.) operatively coupled to the one or more processing devices  1002 . The one or more memory devices can be configured to store instructions  1022  (e.g., master instructions, slave instructions, etc.). The one or more processing devices  1002  (e.g., the master processing device) can be configured to execute the master instructions  1022  to receive the slave sensor data from the slave processing device, use a manipulation of the master device  126  to generate a manipulation instruction, and transmit the manipulation instruction to the slave processing device. The one or more processing devices  1002  (e.g., the slave processing device) can be configured to execute the slave instructions  1022  to receive the slave sensor data from the one or more slave sensors, to transmit the slave sensor data to the master processing device, to receive the manipulation instruction from the master processing device, and to use the manipulation instruction to activate the slave pressure system. The instructions can be executed in real-time or near real-time. 
     In another exemplary embodiment, the computer system  1000  may include the input device  1016  (e.g., the treatment device  800 ) and the control system comprising the processing device  1002  (e.g., the slave processing device) operatively coupled to the input device  1016  and the master computing device  122 . The system  1000  may comprise one or more memory devices (e.g., main memory  1004 , data storage device  1008 , etc.) operatively coupled to the processing device  1002 . The one or more memory devices can be configured to store instructions  1022 . The processing device  1002  can be configured to execute the instructions  1022  to receive a treatment plan (e.g., from a clinical portal  134 ) for a patient and to use the treatment plan to generate at least one parameter. The at least one parameter can be at least one of a force parameter, a resistance parameter, a range of motion parameter, a temperature parameter, a pain level parameter, an exercise session parameter, a vital sign parameter, and a time parameter. Responsive to the at least one trigger condition occurring, the instructions can further cause the processing device  1002  to control at least one operation of the treatment device  800 . The controlling of the at least one operation of the device can comprise causing the treatment device  800  to modify at least one of a volume, a pressure, a resistance, an angle, a speed, an angular or rotational velocity, and a time period. The processing device  1002  can be further configured to execute the instructions  1022  to receive the slave sensor data (e.g., data associated with the at least one operation) from the one or more slave sensors  108 . To determine the at least one trigger condition, the instructions  1022  can further cause the processing device  1002  to use at least one of the data, the at least one parameter, and a patient input. The instructions  1022  can be executed in real-time or near real-time. For example, a notification can be transmitted to the clinical portal  134  in real-time or near real-time, the at least one adjusted parameter can be received in real-time or near real-time, and, using the at least one adjusted parameter, the at least one operation of the treatment device  800  can be controlled in real-time or near real-time. The instructions  1022  can be executed at any other suitable time. For example, the notification can be transmitted to a clinical portal  134  at a first time, the at least one adjusted parameter can be received by the treatment device  800  at a second time, and, using the at least one adjusted parameter, the at least one operation of the treatment device  800  can be controlled at a third time subsequent to the first and second times (i.e., subsequent to transmitting the notification and receiving the at least one adjusted parameter). 
       FIG. 10  is not intended to be limiting: the system  1000  may include more or fewer components than those illustrated in  FIG. 10 . 
     Any of the systems and methods described in this disclosure may be used in connection with rehabilitation. Unless expressly stated otherwise, is to be understood that rehabilitation includes prehabilitation (also referred to as “pre-habilitation” or “prehab”). Prehabilitation may be used as a preventative procedure or as a pre-surgical or pre-treatment procedure. Prehabilitation may include any action performed by or on a patient (or directed to be performed by or on a patient, including, without limitation, remotely or distally through telemedicine) to, without limitation, prevent or reduce a likelihood of injury (e.g., prior to the occurrence of the injury); improve recovery time subsequent to surgery; improve strength subsequent to surgery; or any of the foregoing with respect to any non-surgical clinical treatment plan to be undertaken for the purpose of ameliorating or mitigating injury, dysfunction, or other negative consequence of surgical or non-surgical treatment on any external or internal part of a patient&#39;s body. For example, a mastectomy may require prehabilitation to strengthen muscles or muscle groups affected directly or indirectly by the mastectomy. As a further non-limiting example, the removal of an intestinal tumor, the repair of a hernia, open-heart surgery or other procedures performed on internal organs or structures, whether to repair those organs or structures, to excise them or parts of them, to treat them, etc., can require cutting through and harming numerous muscles and muscle groups in or about, without limitation, the abdomen, the ribs and/or the thoracic cavity. Prehabilitation can improve a patient&#39;s speed of recovery, measure of quality of life, level of pain, etc. in all the foregoing procedures. In one embodiment of prehabilitation, a pre-surgical procedure or a pre-non-surgical-treatment may include one or more sets of exercises for a patient to perform prior to such procedure or treatment. The patient may prepare an area of his or her body for the surgical procedure by performing the one or more sets of exercises, thereby strengthening muscle groups, improving existing and/or establishing new muscle memory, enhancing mobility, improving blood flow, and/or the like. 
     In some embodiments, the systems and methods described herein may use artificial intelligence and/or machine learning to generate a prehabilitation treatment plan for a user. Additionally, or alternatively, the systems and methods described herein may use artificial intelligence and/or machine learning to recommend an optimal exercise machine configuration for a user. For example, a data model may be trained on historical data such that the data model may be provided with input data relating to the user and may generate output data indicative of a recommended exercise machine configuration for a specific user. Additionally, or alternatively, the systems and methods described herein may use machine learning and/or artificial intelligence to generate other types of recommendations relating to prehabilitation, such as recommended reading material to educate the patient, a recommended health professional specialist to contact, and/or the like. 
     Consistent with the above disclosure, the examples of systems and methods enumerated in the following clauses are specifically contemplated and are intended as a non-limiting set of examples. 
     Clause 1. A computer-implemented system, comprising: 
     a treatment device configured to be manipulated by a user while the user performs a treatment plan; 
     a patient interface comprising an output device configured to present telemedicine information associated with a telemedicine session; and 
     a processing device configured to: 
     receive a treatment plan for a patient; 
     during the telemedicine session, use the treatment plan to generate at least one parameter; and 
     responsive to at least one trigger condition occurring, control at least one operation of the treatment device. 
     Clause 2. The computer-implemented system of any clause herein, wherein the treatment device comprises a sensor for detecting data associated with the at least one operation. 
     Clause 3. The computer-implemented system of any clause herein, wherein the processing device is configured to receive the data from the sensor in real-time or near real-time. 
     Clause 4. The computer-implemented system of any clause herein, wherein, to determine the at least one trigger condition, the one or more processing devices are configured to use at least one of the data, the at least one parameter, and a patient input. 
     Clause 5. The computer-implemented system of any clause herein, wherein the controlling of the at least one operation of the device comprises causing the device to modify at least one of a volume, a pressure, a resistance, an angle, a speed, an angular or rotational velocity, and a time period. 
     Clause 6. The computer-implemented system of any clause herein, wherein the at least one parameter is at least one of a force parameter, a resistance parameter, a range of motion parameter, a temperature parameter, a pain level parameter, an exercise session parameter, a vital sign parameter, and a time parameter. 
     Clause 7. A system for a remote examination of a patient, comprising: 
     a master console comprising a master device; 
     a treatment device comprising one or more slave sensors and a slave pressure system; and 
     a control system comprising one or more processing devices operatively coupled to the master console and the treatment device, wherein the one or more processing devices are configured to: 
     receive slave sensor data from the one or more slave sensors; 
     use a manipulation of the master device to generate a manipulation instruction; 
     transmit the manipulation instruction; and 
     use the manipulation instruction to cause the slave pressure system to activate. 
     Clause 8. The system of any clause herein, wherein the master device comprises master sensors for detecting master sensor data associated with the manipulation; and 
     wherein the manipulation instruction is based on the master sensor data. 
     Clause 9. The system of any clause herein, wherein the slave sensor data comprises slave force measurements; 
     wherein the master device comprises a master pressure system; and 
     wherein, using the slave force measurements, the one or more processing devices are further configured to activate the master pressure system. 
     Clause 10. The system of any clause herein, further comprising: 
     a second master device comprising a second master pressure system;
 
wherein the slave sensor data comprises slave force measurements; and
 
     wherein, using the slave force measurements, the one or more processing devices are further configured to activate the second master pressure system. 
     Clause 11. The system of any clause herein, wherein the one or more processing devices are further configured to: 
     use the slave sensor data to transmit an augmented image to a master display. 
     Clause 12. The system of any clause herein, wherein the slave sensor data comprises slave force measurements; 
     wherein the augmented image comprises one or more pressure indicators; and 
     wherein the one or more pressure indicators are based on the slave force measurements. 
     Clause 13. The system of any clause herein, wherein the slave sensor data comprises slave temperature measurements; 
     wherein the augmented image comprises one or more temperature indicators; and 
     wherein the one or more temperature indicators are based on the slave temperature measurements. 
     Clause 14. The system of any clause herein, wherein the master device comprises a pressure gradient; and 
     wherein, using the pressure gradient, the one or more processing devices are configured to cause the slave pressure system to apply one or more measured levels of force to one or more sections of the treatment device. 
     Clause 15. The system of any clause herein, wherein the augmented image comprises a representation of at least one of the treatment device and a body part of the patient, and wherein the representation is in 2D or 3D. 
     Clause 16. The system of any clause herein, wherein the manipulation instruction comprises a measured level of force; and 
     wherein the measured level of force is based on a proximity of the master device to the representation. 
     Clause 17. The system of any clause herein, wherein the one or more processing devices are further configured to: 
     transmit the manipulation instruction in real-time or near real-time; and 
     cause the slave pressure system to activate in real-time or near real-time. 
     Clause 18. The system of any clause herein, wherein the master device comprises at least one of a glove device, a joystick, and a model of the treatment device. 
     Clause 19. The system of any clause herein, wherein the treatment device comprises at least one of a brace, a cap, a mat, and a wrap. 
     Clause 20. The system of any clause herein, further comprising one or more memory devices operatively coupled to the one or more processing devices, wherein the one or more memory devices stores instructions, and wherein the one or more processing devices are configured to execute the instructions. 
     Clause 21. A method for operating a system for remote examination of a patient, comprising: 
     receiving slave sensor data from one or more slave sensors; 
     based on a manipulation of a master device, generating a manipulation instruction; 
     transmitting the manipulation instruction; and 
     based on the manipulation instruction, causing a slave pressure system to activate. 
     Clause 22. The method of any clause herein, wherein the master device comprises master sensors for detecting master sensor data associated with the manipulation; and 
     wherein the manipulation instruction is based on the master sensor data. 
     Clause 23. The method of any clause herein, wherein the slave sensor data comprises slave force measurements; 
     wherein the master device comprises a master pressure system; and 
     wherein, based on the slave force measurements, activating the master pressure system. 
     Clause 24. The method of any clause herein, further comprising: 
     a second master device comprising a second master pressure system;
 
wherein the slave sensor data comprises slave force measurements; and
 
     wherein, using the slave force measurements, the one or more processing devices are further configured to activate the second master pressure system. 
     Clause 25. The method of any clause herein, further comprising: 
     use the slave sensor data to transmitting an augmented image. 
     Clause 26. The method of any clause herein, wherein the slave sensor data comprises slave force measurements; 
     wherein the augmented image comprises one or more pressure indicators; and 
     wherein the one or more pressure indicators are based on the slave force measurements. 
     Clause 27. The method of any clause herein, wherein the slave sensor data comprises slave temperature measurements; 
     wherein the augmented image comprises one or more temperature indicators; and 
     wherein the one or more temperature indicators are based on the slave temperature measurements. 
     Clause 28. The method of any clause herein, wherein the master device comprises a pressure gradient; and 
     wherein, using the pressure gradient, causing the slave pressure system to apply one or more measured levels of force to one or more sections of the treatment device. 
     Clause 29. The method of any clause herein, wherein the augmented image comprises a representation of at least one of the treatment device and a body part of the patient, and wherein the representation is in 2D or 3D. 
     Clause 30. The method of any clause herein, wherein the manipulation instruction comprises a measured level of force; and 
     wherein the measured level of force is based on a proximity of the master device to the representation. 
     Clause 31. The method of any clause herein, further comprising: 
     transmitting the manipulation instruction in real-time or near real-time; and 
     causing the slave pressure system to activate in real-time or near real-time. 
     Clause 32. The method of any clause herein, wherein the master device comprises at least one of a glove device, a joystick, and a model of the treatment device. 
     Clause 33. The method of any clause herein, wherein the treatment device comprises at least one of a brace, a cap, a mat, and a wrap. 
     Clause 34. A tangible, non-transitory computer-readable storage medium storing instructions that, when executed, cause a processing device to: 
     receive slave sensor data from one or more slave sensors; 
     based on a manipulation of a master device, generate a manipulation instruction; 
     transmit the manipulation instruction; and 
     use the manipulation instruction to cause a slave pressure system to activate. 
     Clause 35. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the master device comprises master sensors for detecting master sensor data associated with the manipulation; and 
     wherein the manipulation instruction is based on the master sensor data. 
     Clause 36. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the slave sensor data comprises slave force measurements; 
     wherein the master device comprises a master pressure system; and 
     wherein, based on the slave force measurements, activate the master pressure system. 
     Clause 37. The tangible, non-transitory computer-readable storage medium of any clause herein, further comprising: 
     a second master device comprising a second master pressure system;
 
wherein the slave sensor data comprises slave force measurements; and
 
     wherein, using the slave force measurements, the one or more processing devices are further configured to activate the second master pressure system. 
     Clause 38. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the instructions further cause the processing device to: 
     use the slave sensor data to transmit an augmented image. 
     Clause 39. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the slave sensor data comprises slave force measurements; 
     wherein the augmented image comprises one or more pressure indicators; and 
     wherein the one or more pressure indicators are based on the slave force measurements. 
     Clause 40. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the slave sensor data comprises slave temperature measurements; 
     wherein the augmented image comprises one or more temperature indicators; and 
     wherein the one or more temperature indicators are based on the slave temperature measurements. 
     Clause 41. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the master device comprises a pressure gradient; and 
     wherein, using the pressure gradient, cause the slave pressure system to apply one or more measured levels of force to one or more sections of the treatment device. 
     Clause 42. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the augmented image comprises a representation of at least one of the treatment device and a body part of the patient, and wherein the representation is in 2D or 3D. 
     Clause 43. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the manipulation instruction comprises a measured level of force; and 
     wherein the measured level of force is based on a proximity of the master device to the representation. 
     Clause 44. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the instructions further cause the processing device to: 
     transmit the manipulation instruction in real-time or near real-time; and 
     cause the slave pressure system to activate in real-time or near real-time. 
     Clause 45. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the master device comprises at least one of a glove device, a joystick, and a model of the treatment device. 
     Clause 46. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the treatment device comprises at least one of a brace, a cap, a mat, and a wrap. 
     Clause 47. A system for a remote examination of a patient, comprising: 
     a master console comprising a master device; 
     a treatment device comprising one or more slave sensors and a slave pressure system; and 
     a control system comprising one or more processing devices operatively coupled to the master console and the treatment device, wherein the one or more processing devices are configured to: 
     receive slave sensor data from the one or more slave sensors; 
     transmit the slave sensor data; 
     receive a manipulation instruction; and 
     use the manipulation instruction to activate the slave pressure system. 
     Clause 48. The system of any clause herein, wherein the manipulation instruction is based on a manipulation of the master device. 
     Clause 49. The system of any clause herein, wherein the master device comprises master sensors for detecting master sensor data associated with the manipulation; and 
     wherein the manipulation instruction is based on the master sensor data. 
     Clause 50. The system of any clause herein, further comprising: 
     a second master device comprising a second master pressure system;
 
wherein the slave sensor data comprises slave force measurements; and
 
     wherein, using the slave force measurements, the one or more processing devices are further configured to activate the second master pressure system. 
     Clause 51. The system of any clause herein, wherein the one or more processing devices are further configured to: 
     use the slave sensor data to transmit an augmented image to the master console. 
     Clause 52. The system of any clause herein, wherein the slave sensor data comprises slave force measurements; 
     wherein the master device comprises a master pressure system; and 
     wherein, using the slave force measurements, the one or more processing devices are further configured to cause the master pressure system to activate. 
     Clause 53. The system of any clause herein, wherein the slave sensor data comprises slave force measurements; 
     wherein the augmented image comprises one or more pressure indicators; and 
     wherein the one or more pressure indicators are based on the slave force measurements. 
     Clause 54. The system of any clause herein, wherein the slave sensor data comprises slave temperature measurements; 
     wherein the augmented image comprises one or more temperature indicators; and 
     wherein the one or more temperature indicators are based on the slave temperature measurements. 
     Clause 55. The system of any clause herein, wherein the master device comprises a pressure gradient; and 
     wherein, using the pressure gradient, activating the slave pressure system comprises applying one or more measured levels of force to one or more sections of the treatment device. 
     Clause 56. The system of any clause herein, wherein the augmented image comprises a representation of at least one of the treatment device and a body part of the patient, and wherein the representation is in 2D or 3D. 
     Clause 57. The system of any clause herein, wherein the manipulation instruction comprises a measured level of force; and 
     wherein the measured level of force is based on a proximity of the master device to the representation. 
     Clause 58. The system of any clause herein, wherein the one or more processing devices are further configured to: 
     receive the manipulation instruction in real-time or near real-time; and 
     activate the slave pressure system in real-time or near real-time. 
     Clause 59. The system of any clause herein, wherein the master device comprises at least one of a glove device, a joystick, and a model of the treatment device. 
     Clause 60. The system of any clause herein, wherein the treatment device comprises at least one of a brace, a cap, a mat, and a wrap. 
     Clause 61. The system of any clause herein, further comprising one or more memory devices operatively coupled to the one or more processing devices, wherein the one or more memory devices stores instructions, and wherein the one or more processing devices are configured to execute the instructions. 
     Clause 62. A method for operating a system for remote examination of a patient, comprising: 
     receiving slave sensor data from one or more slave sensors; 
     transmitting the slave sensor data; 
     receiving a manipulation instruction; and 
     based on the manipulation instruction, activating a slave pressure system. 
     Clause 63. The method of any clause herein, wherein the manipulation instruction is based on a manipulation of a master device. 
     Clause 64. The method of any clause herein, wherein the master device comprises master sensors for detecting master sensor data associated with the manipulation; and wherein the manipulation instruction is based on the master sensor data. 
     Clause 65. The method of any clause herein, further comprising: 
     a second master device comprising a second master pressure system;
 
wherein the slave sensor data comprises slave force measurements; and
 
     wherein, using the slave force measurements, the one or more processing devices are further configured to activate the second master pressure system. 
     Clause 66. The method of any clause herein, further comprising: 
     use the slave sensor data to transmitting an augmented image to the master console. 
     Clause 67. The method of any clause herein, wherein the slave sensor data comprises slave force measurements; 
     wherein the master device comprises a master pressure system; and 
     wherein, based on the slave force measurements, causing the master pressure system to activate. 
     Clause 68. The method of any clause herein, wherein the slave sensor data comprises slave force measurements; 
     wherein the augmented image comprises one or more pressure indicators; and 
     wherein the one or more pressure indicators are based on the slave force measurements. 
     Clause 69. The method of any clause herein, wherein the slave sensor data comprises slave temperature measurements; 
     wherein the augmented image comprises one or more temperature indicators; and 
     wherein the one or more temperature indicators are based on the slave temperature measurements. 
     Clause 70. The method of any clause herein, wherein the master device comprises a pressure gradient; and 
     wherein, using the pressure gradient, activating the slave pressure system comprises applying one or more measured levels of force to one or more sections of the treatment device. 
     Clause 71. The method of any clause herein, wherein the augmented image comprises a representation of at least one of the treatment device and a body part of the patient, and wherein the representation is in 2D or 3D. 
     Clause 72. The method of any clause herein, wherein the manipulation instruction comprises a measured level of force; and 
     wherein the measured level of force is based on a proximity of the master device to the representation. 
     Clause 73. The method of any clause herein, further comprising: 
     receiving the manipulation instruction in real-time or near real-time; and 
     activating the slave pressure system in real-time or near real-time. 
     Clause 74. The method of any clause herein, wherein the master device comprises at least one of a glove device, a joystick, and a model of the treatment device. 
     Clause 75. The method of any clause herein, wherein the treatment device comprises at least one of a brace, a cap, a mat, and a wrap. 
     Clause 76. A tangible, non-transitory computer-readable storage medium storing instructions that, when executed, cause a processing device to: 
     receive slave sensor data from one or more slave sensors; 
     transmit the slave sensor data; 
     receive a manipulation instruction; and 
     use the manipulation instruction to activate a slave pressure system. 
     Clause 77. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the manipulation instruction is based on a manipulation of a master device. 
     Clause 78. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the master device comprises master sensors for detecting master sensor data associated with the manipulation; and 
     wherein the manipulation instruction is based on the master sensor data. 
     Clause 79. The tangible, non-transitory computer-readable storage medium of any clause herein, further comprising: 
     a second master device comprising a second master pressure system;
 
wherein the slave sensor data comprises slave force measurements; and
 
     wherein, using the slave force measurements, the one or more processing devices are further configured to activate the second master pressure system. 
     Clause 80. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the instructions further cause the processing device to: 
     use the slave sensor data to transmit an augmented image to the master console. 
     Clause 81. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the slave sensor data comprises slave force measurements; 
     wherein the master device comprises a master pressure system; and 
     wherein, based on the slave force measurements, cause the master pressure system to activate. 
     Clause 82. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the slave sensor data comprises slave force measurements; 
     wherein the augmented image comprises one or more pressure indicators; and 
     wherein the one or more pressure indicators are based on the slave force measurements. 
     Clause 83. The method of any clause herein, wherein the slave sensor data comprises slave temperature measurements; 
     wherein the augmented image comprises one or more temperature indicators; and 
     wherein the one or more temperature indicators are based on the slave temperature measurements. 
     Clause 84. The method of any clause herein, wherein the master device comprises a pressure gradient; and 
     wherein, using the pressure gradient, activating the slave pressure system comprises applying one or more measured levels of force to one or more sections of the treatment device. 
     Clause 85. The method of any clause herein, wherein the augmented image comprises a representation of at least one of the treatment device and a body part of the patient, and wherein the representation is in 2D or 3D. 
     Clause 86. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the manipulation instruction comprises a measured level of force; and 
     wherein the measured level of force is based on a proximity of the master device to the representation. 
     Clause 87. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the instructions further cause the processing device to: 
     receive the manipulation instruction in real-time or near real-time; and 
     activate the slave pressure system in real-time or near real-time. 
     Clause 88. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the master device comprises at least one of a glove device, a joystick, and a model of the treatment device. 
     Clause 89. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the treatment device comprises at least one of a brace, a cap, a mat, and a wrap. 
     Clause 90. A system for a remote examination of a patient, comprising: 
     a master console comprising a master device; 
     a treatment device comprising one or more slave sensors and a slave pressure system; and 
     a control system comprising a master processing device and a slave processing device, wherein the master processing device is operatively coupled to the master console and the slave processing device is operatively coupled to the treatment device; 
     wherein the master processing device is configured to: 
     receive slave sensor data from the slave processing device; 
     use a manipulation of the master device to generate a manipulation instruction; and 
     transmit the manipulation instruction to the slave processing device; and 
     wherein the slave processing device is configured to: 
     receive the slave sensor data from the one or more slave sensors; 
     transmit the slave sensor data to the master processing device; 
     receive the manipulation instruction from the master processing device; and 
     use the manipulation instruction to activate the slave pressure system. 
     Clause 91. The system of any clause herein, wherein the master device comprises master sensors for detecting master sensor data associated with the manipulation; and 
     wherein the manipulation instruction is based on the master sensor data. 
     Clause 92. The system of any clause herein, wherein the slave sensor data comprises slave force measurements; 
     wherein the master device comprises a master pressure system; and 
     wherein, using the slave force measurements, the master processing device is further configured to activate the master pressure system. 
     Clause 93. The system of any clause herein, further comprising: 
     a second master device comprising a second master pressure system;
 
wherein the slave sensor data comprises slave force measurements; and
 
     wherein, using the slave force measurements, the master processing device is further configured to activate the second master pressure system. 
     Clause 94. The system of any clause herein, wherein the master processing device is further configured to: 
     use the slave sensor data to transmit an augmented image to a master display. 
     Clause 95. The system of any clause herein, wherein the slave sensor data comprises slave force measurements; 
     wherein the augmented image comprises one or more pressure indicators; and 
     wherein the one or more pressure indicators are based on the slave force measurements. 
     Clause 96. The system of any clause herein, wherein the slave sensor data comprises slave temperature measurements; 
     wherein the augmented image comprises one or more temperature indicators; and 
     wherein the one or more temperature indicators are based on the slave temperature measurements. 
     Clause 97. The system of any clause herein, wherein the master device comprises a pressure gradient; and 
     wherein, using the pressure gradient, activating the slave pressure system comprises applying one or more measured levels of force to one or more sections of the treatment device. 
     Clause 98. The system of any clause herein, wherein the augmented image comprises a representation of at least one of the treatment device and a body part of the patient, and wherein the representation is in 2D or 3D. 
     Clause 99. The system of any clause herein, wherein the manipulation instruction comprises a measured level of force; and 
     wherein the measured level of force is based on a proximity of the master device to the representation. 
     Clause 100. The system of any clause herein, wherein the manipulation instruction is transmitted in real-time or near real-time; and 
     wherein the slave pressure system is activated in real-time or near real-time. 
     Clause 101. The system of any clause herein, wherein the master device comprises at least one of a glove device, a joystick, and a model of the treatment device. 
     Clause 102. The system of any clause herein, wherein the treatment device comprises at least one of a brace, a cap, a mat, and a wrap. 
     Clause 103. The system of any clause herein, further comprising: 
     a master memory device operatively coupled to the master processing device, wherein the master memory device stores master instructions, and wherein the master processing device is configured to execute the master instructions; and 
     a slave memory device operatively coupled to the slave processing device, wherein the slave memory device stores slave instructions, and wherein the slave processing device is configured to execute the slave instructions. 
     Clause 104. A method for operating a remote examination of a patient, comprising: 
     causing a master processing device to: 
     receive slave sensor data from the slave processing device; 
     use a manipulation of a master device to generate a manipulation instruction; and 
     transmit the manipulation instruction to the slave processing device; and 
     causing a slave processing device to: 
     receive the slave sensor data from the one or more slave sensors; 
     transmit the slave sensor data to the master processing device; 
     receive the manipulation instruction from the master processing device; and 
     use the manipulation instruction to activate the slave pressure system. 
     Clause 105. The method of any clause herein, wherein the master device comprises master sensors for detecting master sensor data associated with the manipulation; and 
     wherein the manipulation instruction is based on the master sensor data. 
     Clause 106. The method of any clause herein, wherein the slave sensor data comprises slave force measurements; 
     wherein the master device comprises a master pressure system; and 
     causing the master processing device, based on the slave force measurements, to activate the master pressure system. 
     Clause 107. The method of any clause herein, further comprising: 
     a second master device comprising a second master pressure system;
 
wherein the slave sensor data comprises slave force measurements; and
 
     wherein, using the slave force measurements, the master processing device is further configured to activate the second master pressure system. 
     Clause 108. The method of any clause herein, further causing the master processing device to: 
     use the slave sensor data to transmit an augmented image to a master display. 
     Clause 109. The method of any clause herein, wherein the slave sensor data comprises slave force measurements; 
     wherein the augmented image comprises one or more pressure indicators; and 
     wherein the one or more pressure indicators are based on the slave force measurements. 
     Clause 110. The method of any clause herein, wherein the slave sensor data comprises slave temperature measurements; 
     wherein the augmented image comprises one or more temperature indicators; and 
     wherein the one or more temperature indicators are based on the slave temperature measurements. 
     Clause 111. The method of any clause herein, wherein the master device comprises a pressure gradient; and 
     wherein, using the pressure gradient, activating the slave pressure system comprises applying one or more measured levels of force to one or more sections of the treatment device. 
     Clause 112. The method of any clause herein, wherein the augmented image comprises a representation of at least one of the treatment device and a body part of the patient, and wherein the representation is in 2D or 3D. 
     Clause 113. The method of any clause herein, wherein the manipulation instruction comprises a measured level of force; and 
     wherein the measured level of force is based on a proximity of the master device to the representation. 
     Clause 114. The method of any clause herein, wherein the manipulation instruction is transmitted in real-time or near real-time; and 
     wherein the slave pressure system is activated in real-time or near real-time. 
     Clause 115. The method of any clause herein, wherein the master device comprises at least one of a glove device, a joystick, and a model of the treatment device. 
     Clause 116. The method of any clause herein, wherein the treatment device comprises at least one of a brace, a cap, a mat, and a wrap. 
     Clause 117. A tangible, non-transitory computer-readable storage medium storing instructions that, when executed, 
     cause a master processing device to: 
     receive slave sensor data from the slave processing device; 
     use a manipulation of a master device to generate a manipulation instruction; and 
     transmit the manipulation instruction to the slave processing device; and 
     cause a slave processing device to: 
     receive the slave sensor data from the one or more slave sensors; 
     transmit the slave sensor data to the master processing device; 
     receive the manipulation instruction from the master processing device; and 
     use the manipulation instruction to activate the slave pressure system. 
     Clause 118. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the master device comprises master sensors for detecting master sensor data associated with the manipulation; and 
     wherein the manipulation instruction is based on the master sensor data. 
     Clause 119. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the slave sensor data comprises slave force measurements; 
     wherein the master device comprises a master pressure system; and 
     wherein, using the slave force measurements, the master processing device is further configured to activate the master pressure system. 
     Clause 120. The tangible, non-transitory computer-readable storage medium of any clause herein, further comprising: 
     a second master device comprising a second master pressure system;
 
wherein the slave sensor data comprises slave force measurements; and
 
     wherein, using the slave force measurements, the master processing device is further configured to activate the second master pressure system. 
     Clause 121. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein instructions further cause the master processing device to: 
     use the slave sensor data to transmit an augmented image to a master display. 
     Clause 122. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the slave sensor data comprises slave force measurements; 
     wherein the augmented image comprises one or more pressure indicators; and 
     wherein the one or more pressure indicators are based on the slave force measurements. 
     Clause 123. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the slave sensor data comprises slave temperature measurements; 
     wherein the augmented image comprises one or more temperature indicators; and 
     wherein the one or more temperature indicators are based on the slave temperature measurements. 
     Clause 124. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the master device comprises a pressure gradient; and 
     wherein, using the pressure gradient, activating the slave pressure system comprises applying one or more measured levels of force to one or more sections of the treatment device. 
     Clause 125. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the augmented image comprises a representation of at least one of the treatment device and a body part of the patient, and wherein the representation is in 2D or 3D. 
     Clause 126. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the manipulation instruction comprises a measured level of force; and 
     wherein the measured level of force is based on a proximity of the master device to the representation. 
     Clause 127. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the manipulation instruction is transmitted in real-time or near real-time; and 
     wherein the slave pressure system is activated in real-time or near real-time. 
     Clause 128. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the master device comprises at least one of a glove device, a joystick, and a model of the treatment device. 
     Clause 129. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the treatment device comprises at least one of a brace, a cap, a mat, and a wrap. 
     Clause 130. The tangible, non-transitory computer-readable storage medium of any clause herein, further comprising: 
     a master memory device operatively coupled to the master processing device, wherein the master memory device stores master instructions, and wherein the master processing device is configured to execute the master instructions; and 
     a slave memory device operatively coupled to the slave processing device, wherein the slave memory device stores slave instructions, and wherein the slave processing device is configured to execute the slave instructions. 
     Clause 131. A system for enabling a remote adjustment of a device, comprising: 
     a control system comprising one or more processing devices operatively coupled to the device, wherein the one or more processing devices are configured to: 
     receive a treatment plan for a patient; 
     use the treatment plan to generate at least one parameter; and 
     responsive to at least one trigger condition occurring, control at least one operation of the device. 
     Clause 132. The system of any clause herein, wherein the device comprises a sensor for detecting data associated with the at least one operation. 
     Clause 133. The system of any clause herein, wherein the one or more processing devices are configured to receive the data from the sensor in real-time or near real-time. 
     Clause 134. The system of any clause herein, wherein, to determine the at least one trigger condition, the one or more processing devices are configured to use at least one of the data, the at least one parameter, and a patient input. 
     Clause 135. The system of any clause herein, wherein the controlling of the at least one operation of the device comprises causing the device to modify at least one of a volume, a pressure, a resistance, an angle, a speed, an angular or rotational velocity, and a time period. 
     Clause 136. The system of any clause herein, wherein the at least one parameter is at least one of a force parameter, a resistance parameter, a range of motion parameter, a temperature parameter, a pain level parameter, an exercise session parameter, a vital sign parameter, and a time parameter. 
     Clause 137. The system of any clause herein, wherein the one or more processing devices are configured to receive the treatment plan from a clinical portal. 
     Clause 138. The system of any clause herein, wherein the one or more processing devices are further configured to: 
     transmit a notification to a clinical portal in real-time or near real-time;
 
receive at least one adjusted parameter in real-time or near real-time; and
 
     using the at least one adjusted parameter, control the at least one operation of the device in real-time or near real-time. 
     Clause 139. The system of any clause herein, wherein the one or more processing devices are further configured to: 
     transmit a notification to a clinical portal;
 
receive at least one adjusted parameter; and
 
     using the at least one adjusted parameter, control the at least one operation of the device at a time subsequent to receiving the at least one adjusted parameter. 
     Clause 140. The system of any clause herein, wherein the device comprises at least one of a physical therapy device, a brace, a cap, a mat, and a wrap. 
     Clause 141. A method for enabling a remote adjustment of a device, comprising: 
     receiving a treatment plan for a patient;
 
using the treatment plan to generate at least one parameter; and
 
     responsive to at least one trigger condition occurring, controlling at least one operation of the device. 
     Clause 142. The method of any clause herein, wherein the device comprises a sensor for detecting data associated with the at least one operation. 
     Clause 143. The method of any clause herein, wherein the data is received from the sensor in real-time or near real-time. 
     Clause 144. The method of any clause herein, further comprising: 
     to determine the at least one trigger condition, using at least one of the data, the at least one parameter, and a patient input. 
     Clause 145. The method of any clause herein, wherein the controlling of the at least one operation of the device comprises causing the device to modify at least one of a volume, a pressure, a resistance, an angle, a speed, an angular or rotational velocity, and a time period. 
     Clause 146. The method of any clause herein, wherein the at least one parameter is at least one of a force parameter, a resistance parameter, a range of motion parameter, a temperature parameter, a pain level parameter, an exercise session parameter, a vital sign parameter, and a time parameter. 
     Clause 147. The method of any clause herein, wherein the treatment plan is received from a clinical portal. 
     Clause 148. The method of any clause herein, further comprising: 
     transmitting a notification to a clinical portal in real-time or near real-time; 
     receiving at least one adjusted parameter in real-time or near real-time; and 
     using the at least one adjusted parameter to control the at least one operation of the device in real-time or near real-time. 
     Clause 149. The method of any clause herein, further comprising: 
     transmitting a notification to a clinical portal; 
     receiving at least one adjusted parameter; and 
     using the at least one adjusted parameter to control the at least one operation of the device at a time subsequent to receiving the at least one adjusted parameter. 
     Clause 150. The method of any clause herein, wherein the device comprises at least one of a physical therapy device, a brace, a cap, a mat, and a wrap. 
     Clause 151. A tangible, non-transitory computer-readable storage medium storing instructions that, when executed, cause a processor to: 
     receive a treatment plan for a patient;
 
use the treatment plan to generate at least one parameter; and
 
     responsive to at least one trigger condition occurring, control at least one operation of a device. 
     Clause 152. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the device comprises a sensor for detecting data associated with the at least one operation. 
     Clause 153. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the instructions further cause the processor to receive the data from the sensor in real-time or near real-time. 
     Clause 154. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein, to determine the at least one trigger condition, the instructions further cause the processor to use at least one of the data, the at least one parameter, and a patient input. 
     Clause 155. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the controlling of the at least one operation of the device comprises causing the device to modify at least one of a volume, a pressure, a resistance, an angle, a speed, an angular or rotational velocity, and a time period. 
     Clause 156. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the at least one parameter is at least one of a force parameter, a resistance parameter, a range of motion parameter, a temperature parameter, a pain level parameter, an exercise session parameter, a vital sign parameter, and a time parameter. 
     Clause 157. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the treatment plan is received from a clinical portal. 
     Clause 158. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the instructions further cause the processor to: 
     transmit a notification to a clinical portal in real-time or near real-time; 
     receive at least one adjusted parameter in real-time or near real-time; and 
     using the at least one adjusted parameter, control the at least one operation of the device in real-time or near real-time. 
     Clause 159. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the instructions further cause the processor to: 
     transmit a notification to a clinical portal;
 
receive at least one adjusted parameter; and
 
     using the at least one adjusted parameter, control the at least one operation of the device at a time subsequent to receiving the at least one adjusted parameter. 
     Clause 160. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the device comprises at least one of a physical therapy device, a brace, a cap, a mat, and a wrap. 
     Consistent with the above disclosure, the examples of assemblies enumerated in the following clauses are specifically contemplated and are intended as a non-limiting set of examples. 
     No part of the description in this application should be read as implying that any particular element, step, or function is an essential element that must be included in the claim scope. The scope of patented subject matter is defined only by the claims. Moreover, none of the claims is intended to invoke 25 U.S.C. § 104(f) unless the exact words “means for” are followed by a participle. 
     The foregoing description, for purposes of explanation, use specific nomenclature to provide a thorough understanding of the described embodiments. However, it should be apparent to one skilled in the art that the specific details are not required to practice the described embodiments. Thus, the foregoing descriptions of specific embodiments are presented for purposes of illustration and description. They are not intended to be exhaustive or to limit the described embodiments to the precise forms disclosed. It should be apparent to one of ordinary skill in the art that many modifications and variations are possible in view of the above teachings. 
     The above discussion is meant to be illustrative of the principles and various embodiments of the present invention. Once the above disclosure is fully appreciated, numerous variations and modifications will become apparent to those skilled in the art. It is intended that the following claims be interpreted to embrace all such variations and modifications.