Patent Publication Number: US-2020281528-A1

Title: Method and system for diagnosing a disease using eye optical data

Description:
CROSS-REFERENCE TO RELATED APPLICATIONS 
     This application claims priority benefit to U.S. patent application Ser. No. 15/832,233 filed on 5 Dec. 2017, the contents of which are hereby incorporated by reference in their entity. 
    
    
     FEDERALLY SPONSORED RESEARCH OR DEVELOPMENT 
     Not Applicable 
     INCORPORATION BY REFERENCE OF MATERIAL SUBMITTED ON A COMPACT DISK 
     Not Applicable 
     TO ALL WHOM IT MAY CONCERN 
     Be it known that, Michael A. Brewer and Shannon Rose Hinkley, have invented new and useful improvements in a system and method for diagnosing a disease with eye optical data as described in this specification. 
     BACKGROUND OF THE INVENTION 
     Human body diseases are triggered by a multitude of potential triggering events including environmental pressures, physiological changes, or genetically induced causes, to name a few. The detection of a disease, or disease onset, is paramount to the health of the population and has been an evolving field in modern medicine. One of the more effective methods for detecting a disease is through blood tests. However, recent advances in optics and signal processing have given rise to several non-invasive diagnostic techniques to detect diseases. The non-invasive diagnostic techniques primarily rely on electromagnetic radiation. Based on how the radiation interacts with bodily tissues or analytes, an indication of the presence or absence of a disease state (e.g., cancer, liver disease) can be determined. Various non-invasive diagnostic techniques are known in the prior art; however many techniques provide very limited information about the overall health of the patient. The current non-invasive diagnostic techniques often utilize clunky benchtop devices that are primarily focused on the detection of a single blood analyte, the monitoring of volumetric changes of tissue structures (e.g., plethysmography), or the oxygenation levels of the blood (e.g., pulse oximetry), which are usually directed to the diagnosis or monitoring of a specific disease state. In addition, the current techniques do not provide information about the presence or absence of non-tested diseases, whether the patient experienced a disease triggering event, or the severity of a disease (i.e., disease stage). 
     Thus, there is a need in the art for a diagnostic eye goggle system capable of collecting and analyzing multiple types of optical data from a user&#39;s eye and cross correlate that data with historical data to identify one or more disease states of the user. There is a further need for a diagnostic eye goggle system capable of tracking the biological and physical changes in the eye of a user with or without a disease, and use the tracked changes to identify one or more disease states of a future user. 
     FIELD OF THE INVENTION 
     The present invention relates to a diagnostic eye goggle system, and more particularly, to a diagnostic eye goggle system utilizing optical measurements of a user&#39;s eye and a master database having historical user data to identify a disease state of the user or provide lens-correcting suggestions. 
     SUMMARY OF THE INVENTION 
     The general purpose of the diagnostic eye goggle system, described subsequently in greater detail, is to provide a diagnostic eye goggle system which has many novel features that result in a diagnostic eye goggle system which is not anticipated, rendered obvious, suggested, or even implied by prior art, either alone or in combination thereof. 
     A method for diagnosing a disease, a disease state, or a disease stage of a user based on optical data is provided herein. Goggles are provided having a radiation source, a radiation sensor, and a microcontroller. The goggles are assembled about a user&#39;s head such that the radiation source and radiation sensor are situated in front of a user&#39;s eye. Radiation is emitted radiation into the user&#39;s eye with the radiation source. A user&#39;s optical data is detected with the radiation sensor. The optical data includes at least two of the following: a) a wavefront of reflected radiation from the user&#39;s eye; b) a spectrum of reflected radiation from the user&#39; eye; and c) one or more wavelengths of reflected radiation from the user&#39;s eye. A statistical match between the user&#39;s optical data and optical data from one or more historical users is determined, where the statistical match is determined with a diagnostic software module executed by a processor. A disease, disease state, or disease stage of the user is diagnosed based on a diagnosed disease, disease state, or disease stage of the one or more historical users. 
     A diagnostic eye goggle system for diagnosing a disease, disease state, or disease stage of a user is also provided herein. The system included goggles, a master database, and a diagnostic software module. The goggles are configured to detect a user&#39;s optical data. The optical data includes at least two of the following: a) a wavefront of reflected radiation from the user&#39;s eye; b) a spectrum of reflected radiation from the user&#39; eye; and c) one or more wavelengths of reflected radiation from the user&#39;s eye. The master database stores optical data from a plurality of historical users. The diagnostic software module is stored on non-transient memory and executed by a processor. The diagnostic software module when executed by the processor determines a statistical match between the user&#39;s optical data and optical data from one or more historical users. A diagnoses of a disease, disease state, or disease stage of the user is determined based on a diagnosed disease, disease state, or disease stage of the one or more historical users. 
     Thus has been broadly outlined the more important features of the present disease detecting eye goggle system so that the detailed description thereof that follows may be better understood and in order that the present contribution to the art may be better appreciated. 
     Objects of the present disease detecting eye goggle system, along with various novel features that characterize the invention are particularly pointed out in the claims forming a part of this disclosure. For better understanding of the disease detecting eye goggle system, its operating advantages and specific objects attained by its uses, refer to the accompanying drawings and description. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
         FIG. 1  depicts a diagnostic eye goggle system having a user wearing goggles that interface with an external master database. 
         FIG. 2  is a perspective view of the goggles. 
         FIG. 3  depicts the components of the goggles and how the goggles interact with a user&#39;s eye. 
         FIGS. 4A-4D  depict different types of optical data acquired by the goggles, where  FIG. 4A  depicts the detection of a wavefront,  FIG. 4B  depicts the detection of analytes with spectral analysis,  FIG. 4C  depicts the detection of frequency-shifted radiation, and  FIG. 4D  depicts the detection of reflected radiation patterns on specific regions of the eye. 
         FIG. 5  depicts a front panel of the goggles having a camera and eye directing lights. 
         FIG. 6  depicts a method of using the diagnostic eye goggle system. 
     
    
    
     DETAILED DESCRIPTION OF THE DRAWINGS 
     The present invention has utility as a diagnostic eye goggle system to acquire optical data from a user&#39;s eye and cross-correlate the optical data with historical optical data to identify at least one of a disease state or a disease stage of the user. The diagnostic eye goggle system has additional utility in providing lens-correcting instructions or suggestions to the user or health care provider. The following description of various embodiments of the invention is not intended to limit the invention to those specific embodiments, but rather to enable any person skilled in the art to make and use this invention through exemplary aspects thereof. It will be clear and apparent to one skilled in the art that the invention can be adapted to diagnose several diseases, disease states, and disease stages illustratively including: cancer; organ disease (e.g., liver, heart, brain, skin); nerve and vessel disease; bacterial, parasite and viral infections; and eye diseases (e.g., glaucoma, macular degeneration). 
     It is to be understood that in instances where a range of values are provided that the range is intended to encompass not only the end point values of the range but also intermediate values of the range as explicitly being included within the range and varying by the last significant figure of that range. By way of example, a recited range of 1 to 4 is intended to include 1-2, 1-3, 2-4, 3-4, and 1-4. 
     With reference now to the drawings, and in particular  FIGS. 1 through 6  thereof, examples of the instant diagnostic eye goggle system employing the principles and concepts of the present diagnostic eye goggle system and generally designated by the reference number  10  will be described. 
     With reference to  FIGS. 1 and 2 , particular embodiments of the general components of the present diagnostic eye goggle system  10  is illustrated. The diagnostic eye goggle system  10  generally includes goggles  12  and an external master database  14 . The external master database  14  includes data from historical users of the goggles  12 , referred to herein as historical user data. In specific embodiments, the external master database  14  is stored on or more servers and accessible by an Internet connection, however, it should be appreciated that the external master database  14  may be stored on a private server or intranet and may be accessible by other wired or wireless connections. The goggles  12  generally include a front panel  16  and a head securement feature  18 . The front panel  16  is situated in front of the user&#39;s eyes when the goggles are worn about the user&#39;s head (U). In a particular embodiment, the front panel  16  includes a light shield  17  around the front panel  16  that conforms about the user&#39;s eyes to eliminate exposure of natural light to the user&#39;s eyes. The light shield  17  may project around an outer edge of the front panel  16  to make contact with the user&#39;s face. The light shield  17  may further be made of a flexible, and light absorbent material. The head securement feature  18  is configured to secure the goggles  12  to the user&#39;s head (U). The securement feature  18  may include an elastic strap, an adjustable strap, temples that fit on the user&#39;s ears, a nose clip that assembles to the user&#39;s nose, and equivalents thereof. 
     With reference to  FIG. 3 , a particular embodiment of the front panel  16  of the goggles  12  is shown in the context of emitting and receiving radiation (denoted as the dashed arrows  17  and  19 , respectively) into and out of a user&#39;s eye (E). The front panel  16  includes a plurality of components to acquire optical data from the user&#39;s eye (E). The front panel  16  may include one or more electromagnetic radiation sources  19  disposed to emit radiation into one or more eyes (E) of the user. The radiation source(s)  19  may include one or more light emitting diodes (LEDs), solid-state lasers, incandescent light, fluorescent light, or a combination thereof. The radiation source(s) are configured to emit radiation having minimal harmful effects on the structures of the eye (E). In a specific embodiment, the emitted radiation wavelength may range from 380 nanometers in wavelength to 2500 nanometers in wavelength corresponding to the visible and infrared spectrum of radiation. In some embodiments, the emitted radiation has a shorter wavelength below 380 nanometers but greater than 50 nanometers. 
     The front panel  16  further includes one or more radiation sensors  20  to detect at least one of refraction, reflection, interference, intensity, frequency-shift, wavefront, or a spectrum of reflected radiation reflected from one or more structures in the user&#39;s eye (E). The radiation sensors  20  may include a charged-coupled device (CCD) sensor, a Hartmann-Shack wavefront sensor, or an array of photodiodes. 
     The front panel  16  may further include one or more optical elements  22  disposed between the radiation source and the radiation sensor for manipulating at least one the emitted radiation and the reflected radiation. The one or more optical sensors may include at least one of a slit, a pinhole, a collimator, a mirror, a beam-splitter, a lens, an x-y scanner, an x-y-z scanner, a prism, a reference arm, or a combination thereof. In another embodiment, the radiation emitted from the radiation source(s)  19  is directly detected by the radiation sensor(s)  20  without the use of the optical elements  22 . However, it should be appreciated that a simple slit or pinhole disposed in front of the radiation source  19  may be regarded as an optical element  22 . 
     The front panel  16  further includes a microcontroller  24  disposed in communication with at least one of the radiation source  19 , the radiation sensor  20 , and optical elements  22 . The microcontroller  24  generally coordinates the emission of radiation into the user&#39;s eye(s) (E) and analyzes the data received from the radiation sensor(s)  20 . The microcontroller  24  further includes a processor and memory. A transceiver  26  is further disposed in communication with the microcontroller  24 . The transceiver  26  provides a datalink between the microcontroller  24  and the external master database  14 . The interface may be accomplished with a wired or wireless connection including Ethernet cables, BUS cables, a power line, Bluetooth, Wi-Fi, radiofrequency, and equivalents thereof. In addition, the datalink may be accomplished through a wired or wireless network, illustratively including, a local area network, or the Internet. Further, the term “in communication” refers to a wired or wireless connection between two or more stated elements (e.g., microcontroller  24  and transceiver  26 ) and does not necessarily require a direct one-to-one connection where other elements (e.g., circuitry, a network) may facilitate or be part of the connection between the two or more stated elements. 
     The diagnostic eye goggle system  10  further includes a diagnostic software module that cross-correlates analyzed data from the microcontroller with the historical data in the master database  14  to identify a disease state of the user. In one embodiment, the diagnostic software module is stored in memory associated with the microcontroller  24  and executed by a processor of the microcontroller  24 . In another embodiment, the diagnostic software module is stored in memory associated with the master database  14  and executed by a processor associated with the master database  14 . The diagnostic software module may use several algorithms for identifying a statistical match, illustratively including: a) running the analyzed data through a decision tree to classify the analyzed data into a cohort and subsequently comparing the analyzed data to historical data within said cohort; b) comparing one or more finite outputs from the analyzed data (e.g., Zernike Polynomials) with one or more outputs associated with the historical user data; c) Naïve Bayes classifiers to recognize specific patterns in the analyzed data and match the specific patterns with patterns associated with the historical user data; d) regression analysis to correlate how the analyzed set of data statistically compares to historical user&#39;s data; and e) clustering algorithms to cluster the analyzed set of data with historical user data to aid in finding a statistical match. In some embodiments, the diagnostic software module iteratively compares the analyzed data from the microcontroller  24  with historical analyzed data from each historical user of the diagnostic eye goggle system  10 . For example, if the master database  14  includes historical analyzed data from 5,000 users, then the diagnostic software module compares the present analyzed user&#39;s data with each of the 5,000 previous user&#39;s analyzed data to identify a match. In other embodiments, the optical data from the 5,000 historical users are classified into one or more groups, which may or may not correspond to a particular disease, disease state, or disease stage. The present user&#39;s analyzed data is then first grouped or classified into one or more groups and subsequently compared with each of the historical user&#39;s data in said group. Specific types of optical data to be acquired, analyzed, and matched are further described below. 
     In specific inventive embodiments, the diagnostic eye goggle system  10  further includes read-write memory  27  for performing offline tasks when the eye goggles  12  are disconnected from the master database  14 . In one embodiment, the read-write memory  27  is housed in the front panel  16  and disposed in communication with the microcontroller  24 . In another embodiment, the read-write memory  27  is external to the goggles  12  but in communication with the microcontroller  24  and in the same locational vicinity as the goggles  10 , such as an external hard drive, universal serial bus (USB) drive, and equivalents thereof. While in other embodiments, the read-write memory  27  is the same as the aforementioned memory associated with the microcontroller  24 . The read-write memory  27  is particularly advantageous as the memory  27  permits the goggles  12  to function without connectivity to the master database  14 . For example, the goggles  12  may be sent to a remote African village to acquire optical eye data from remote users in the local population. The read-write memory  27  may then store optical eye data from a plurality of remote user&#39;s in that local population. Once the goggles  10  are capable of re-connecting to the master database  14  (e.g., through an internet connection), the optical eye data from the plurality of user&#39;s are transferred and stored in the master database  14  and an identification of a disease state or disease stage for each individual may be provided. 
     In a particular inventive embodiment, the read-write memory  27  may further store historical user data to identify a disease state and/or stage without having to connect to the master database  14 . The diagnostic software module may be stored in the read-write write memory  27  and executed by the processor of the microcontroller  24  to identify a disease state and/or stage of the remote users. In some instances, the file size of the totality of the historical user data may be too large to store in the read-write memory  27 . In such a case, a selected portion of the historical user data is stored in read-write memory  27 . In a particular embodiment, the selected portion of the historical user data stored in the read-write memory  27  is selected based on a type of a disease and/or a prevalence of a disease. For example, the eye goggles  12  may be sent to an African village having an outbreak of malaria. Optical eye data from historical users having malaria is then selected as the portion of historical user data that is stored in the read-write memory  27 . The eye goggles  12  are then equipped to quickly identify if any user&#39;s in the African village population has malaria without having to connect with the master database  14 . In another example, the read-write memory  27  only stores common diseases, while keeping uncommon diseases stored in the master database  14 . Therefore, the read-write memory  27  is not overloaded with historical user data and the computational time to cross-correlate and identify a disease is reduced. Then, once the goggles  12  re-connect with the master database  14 , any uncommon diseases from the remote population may be identified. 
     With reference to  FIGS. 4A through 4D , several types of optical data to be acquired and analyzed from the eye (E) are illustrated. In a particular embodiment, the memory associated with the microcontroller  12  stores three or more optical data acquisition modules. The three or more optical data acquisition modules include software executable instructions to acquire three or more different types of optical data from the eye (E). In a particular embodiment, with reference to  FIG. 4A , a first optical data acquisition module is configured to identify eye aberrations by detecting the refraction of reflected radiation from the eye (E). The first optical data acquisition model includes instructions when executed by the processor causes the processor to: command at least one of the radiation source  19  and optical elements  22  to emit one or more pulses of radiation  28  onto the retina (R) of the user&#39;s eye (E), wherein a wavefront  30  of reflected radiation  32  is detected by the sensor  20  and transferred to the microcontroller  24  for eye aberration analysis. The radiation sensor  20  for detecting the wavefront  30  may be a Hartmann-Shack wavefront sensor having a lenslet array and a CCD sensor. In one embodiment, the lenslet array is part of the optical elements  22  and the CCD sensor is the radiation sensor  20 . The eye aberration analysis may include the determination of the Zernike Polynomials from the detected refractions of radiation over the area of the eye (E). In other embodiments, the wavefront is acquired using Tscherning aberroscopy or ray tracing. 
     With reference to  FIG. 4B , a second optical data acquisition module is configured to identify the presence or absence of one or more analytes (A) in the blood vessels (BV) or other tissue structures of the user&#39;s eye (E). The second optical data acquisition module includes instructions when executed by the processor causes the processor to: command at least one of the radiation source  19  and optical elements  22  to emit one or more pulses of a continuous spectrum of radiation  34  on one or more blood vessels (BV) or tissue structures in the user&#39;s eye (E). A spectrum of the reflected radiation  36  is detected by the sensor  20  and transferred to the microcontroller  24  to analyze the presence, absence or concentration of an analyte (A) in the blood vessels (BV), tissues, or tissue structures in the user&#39;s eye (E). The continuous spectrum of emitted radiation  34  may be white light comprised of the visible light spectrum of radiation. The continuous spectrum may further include a spectrum of infrared light that may absorb, reflect, or interact with an analyte (A) in the blood vessel (BV), tissue, or tissue structure in the eye (E). The reflected light  36  is detected and analyzed to determine one or more spectral line fingerprints by examining at least one of: a) the presence or absence of a particular wavelength of light that reflected from the eye (E); and/or b) the intensity of a particular wavelength of light reflected from the eye (E). The optical elements  22  may include a prism to spread the reflected light  36  into their corresponding wavelengths for analysis. The spectral line fingerprints provide an indication of the presence, absence, or a concentration of a particular analyte (A) in the user&#39;s blood or other tissue structures in the user&#39;s eye (E). In a specific embodiment, the radiation source  19 , optical elements  22 , and sensors  20  may include components to employ Raman spectroscopy for obtaining a spectral analysis of one or more analytes in the eye (E). 
     In a particular embodiment, with reference to  FIG. 4C , a third optical data acquisition module is configured to detect a frequency-shift in emitted radiation  38  compared to the reflected radiation  40 . As illustrated in  FIG. 4C , the emitted radiation  38  has a shorter wavelength than the reflected radiation  40 . The third optical data acquisition module when executed by the processor causes the processor to: command at least one of the radiation source  19  and optical elements  22  to emit one or more specific wavelengths of radiation  38  on one or more blood vessels (BV), tissues, or tissue structures in the eye (E), wherein a frequency-shifted wavelength of reflected radiation  40  is detected by the sensor and transferred to the microcontroller for at least one of analyte (A), tissue, or tissue structure analysis of the eye (E). For example, the microcontroller  24  may command the radiation source  19  and/or optical elements  22  to emit radiation  38  having a wavelength of 520 nm at a particular tissue structure or blood vessel (BV) in the eye (E), and detect a reflected wavelength  40  of 600 nm. The frequency-shift in the reflected radiation  40  indicates how the light interacted with the particular analyte (A), tissue, or tissue structure to ascertain the quality of a tissue or tissue structure and identify at least one of the presence, absence, or concentration of an analyte (A) in the eye (E). 
     In a specific embodiment, with reference to  FIG. 4D , a fourth optical data acquisition module is configured to detect an angular degree of reflected radiation reflected from one or more specific target locations on the retina (R) or other tissue structures in the eye (E). The fourth optical data acquisition module when executed by the processor causes the processor to: command at least one of the radiation source  19  and optical elements  22  to emit one or more pulses of radiation  42  at one or more target locations on the retina (R) or other structures in the eye (E), wherein an angular degree of reflected radiation  44  is detected by the sensor  20  and transferred to the microcontroller  24  to analyze a topography of the targeted location(s). Depending on the topography of the target location, the radiation may reflect in different directions due to an irregularly shaped surface. An irregular topographical surface of a target location may be indicative of a particular disease, disease state, or disease stage. 
     In a particular embodiment, a fifth optical data acquisition module is configured to emit one or more specific wavelengths of radiation and detect the intensity of reflected radiation. The fifth optical data acquisition module when executed by the processor causes the processor to: command at least one of the radiation source  19  and optical elements  22  to emit one or more pulses of one or more specific wavelengths of radiation, wherein an intensity, or amount of reflected radiation, is detected by the sensor  20  and transferred to the microcontroller  24  to analyze the presence, absence, or concentration of one or more analytes (A) in a blood vessel (A) or other tissue in the eye (E). For example, some analytes (A) may absorb radiation at a first wavelength (providing a low intensity reading), and reflect radiation at a second wavelength (providing a high intensity reading). The difference between the detected intensities of reflected radiation between the two different emitted wavelengths may be indicative of a concentration of a particular analyte (A). In a particular embodiment, the optical elements  22  may include a prism that is adjusted in response to commands by the microcontroller  24  to emit a specific wavelength. In other embodiments, the radiation source  19  includes a plurality of LEDs that may each emit a specific wavelength when commanded to do so. 
     In a specific inventive embodiment, a sixth optical data acquisition module is configured to detect one or more volumetric changes of a blood vessel (BV) or tissue structure in the eye (E). The sixth optical data acquisition module when executed by the processor causes the processor to: command at least one of the microcontroller  24  or optical elements  22  to emit a plurality of pulses of radiation on and around one or more blood vessels in the user&#39;s eye (E), wherein the sensor detects a change in the reflected radiation between pulses that corresponds to a volumetric change in one or more of the blood vessels. The sixth optical data acquisition module acts as a plethysmograph to monitor blood pressure, blood flow, and heart rate. 
     In a particular inventive embodiment, a seventh optical data acquisition module is configured to obtain images of surfaces and sub-surfaces of tissue structures in the eye (E). The seventh optical data acquisition module when executed by the processor cause the processor to: command at least one of the microcontroller  24  or optical elements  22  to emit a plurality of pulses of infrared radiation on one or more targeted tissue structures, wherein the sensor detects a reflectivity profile of the targeted tissue containing information about the spatial dimensions and location of tissue structures. The seventh optical data acquisition module is generally referred to as optical coherence tomography. 
     It should be appreciated, that the aforementioned tissues and tissue structures in the eye (E) illustratively include specific regions of the retina (R), the corneal tear film, the macula, the fovea, the vitreous body, the aqueous humor (fluid), the optical nerve, the lens, the pupil, the cornea, and ganglion cells. It should further be appreciated that the aforementioned analytes (A) to be detected in the blood vessels (BV) or tissues illustratively include, but not limited to: compounds such as glucose and bilirubin; enzymes such as amylase, lipase, aspartate transaminase, and alanine transaminase; metals such as mercury; cells such as white blood cells; and other proteins or metabolites such as growth factors and signaling proteins. 
     To direct the emitted radiation to detect analytes and/or abnormalities on specific regions of the eye (E), the front panel  16  may further include components for directing the emitted radiation. In one embodiment, the microcontroller  24  is disposed in communication with one or more optical elements  22  to actively manipulate at least one of the emitted radiation or the reflected radiation. The optical elements  22  may include one or more actuating components, illustratively including, servo-motors, step-motors, pivots, ball screws, nuts, linear rails, and equivalents thereof to actively adjust one or more of the optical elements  22  based on commands from the microcontroller  24  (e.g., an x-y scanner for directing the radiation at a plurality of pre-programmed locations). The three or more optical data acquisition modules when executed by the processor cause the processor to: actively direct the emitted radiation to a plurality of specific locations on the retina by actively adjusting one or more of the optical elements  22  (e.g., a mirror, a pinhole) with the actuating components. With reference to  FIG. 5 , the front panel  16  may further include a camera  46  disposed in communication with the microcontroller  24 . The camera  46  includes an eye tracking software module for locating and tracking the pupil of the eye (E). Therefore, the emitted radiation may be actively and accurately directed to specific locations in the eye (E) based, in part, on a current position of the user&#39;s pupil. 
     With reference to  FIG. 5 , the radiation may be directed to specific regions on the eye using a plurality of eye directing lights  48 . The front panel  16  may include a plurality of eye directing lights  48  situated about a radiation emission aperture  50  in the front panel  16 . The eye directing lights  48  are shown in a radial pattern about the radiation emission aperture  50 . The eye directing lights  48  are configured to direct the user&#39;s line-of-sight in a particular direction to collect optical data on a specific region in the eye (E). The three or more optical data acquisition modules may include additional instructions when executed by the processor cause the processor to: illuminate a sequence of the eye directing lights to sequentially direct the user&#39;s eye (E) to an illuminated light; command the radiation source to emit one or more pulses of radiation into the user&#39;s eye (E) for each position the eye (E) is directed to an illuminated light; and collect the reflected radiation reflected from the retina when the eye (E) is directed to each illuminated light. For example, to target a region of the eye (E) below the macula, an eye directing light  48  located below the radiation emission aperture  50  is illuminated directing the user&#39;s line-of-sight down. Thus, radiation emitted through the pupil will make contact with retinal structures located below the macula. The eye directing lights  48  may be used in lieu of optical elements  22  that actively direct emitted radiation at specific locations in the eye (E), or the eye directing lights  48  may be used in conjunction with optical elements  22  that actively direct emitted radiation. 
     During and/or after the optical data acquisition process, in specific embodiments, the microcontroller  24  generates a mathematical map of the eye (E) having map data corresponding to the analyzed data collected from the optical data acquisition modules. The map data may includes one or more analyzed wavefronts, one or more analyzed spectra of reflected radiation, one or more analyzed frequency-shifts of reflected radiation, one or more analyzed angular degrees of reflection, one or more analyzed intensities of reflected radiation from one or more emitted wavelengths of radiation, and one or more analyzed volumetric changes of a blood vessel (BV) or tissue structure. The diagnostic software module then compares the mathematical map of the eye (E) with historical user&#39;s mathematical maps to identify a disease state of the user using one or more of the aforementioned matching algorithms. For example, early detection of pancreatic cancer is determined by the combination of: i. blood composition as determined by the second optical acquisition module and the fifth optical acquisition module; ii. a given light wave reflection pattern as determined by the fourth optical acquisition module; and iii. a given wavefront aberration map as determined by the first acquisition module. In a specific inventive embodiment, the microcontroller  24  generates a mapping identifier based on all of the map data. For example, a mapping identifier may be generated by combining, relating, and/or transforming i, ii, and iii above into a single value, range of values, or mathematical function. The diagnostic software module then cross-correlates the mapping identifier with historical user&#39;s mapping identifiers located in the master database  14  to identify a particular disease, disease state, or disease stage. It should be appreciated, that the diagnostic software module may cross-correlate remote user&#39;s analyzed optical data, mathematical maps, and/or mapping identifiers with historical user&#39;s analyzed optical data, mathematical maps, and/or mapping identifiers stored locally in the read-write memory  27  to identify a particular disease, disease state, or disease stage of the remote user in a remote location (e.g., African village) if no connectivity to the master database  14  is possible as described above. 
     In particular embodiments, the analyzed data, mathematical map, and/or mapping identifier of the user are transferred and stored in the master database  14  to become a component of the user&#39;s longitudinal health record and made available for diagnosing a disease state for future user&#39;s of the diagnostic eye goggle system  10 . In a particular embodiment, the user repeats the data acquisition modules with the diagnostic eye goggle system  10  to track how the acquired optical data may change as a function of disease onset, disease progression, or disease regression. The tracked changes in the optical data provide incredibly valuable markers for diagnosing a disease, disease state, or disease stage of a future user of the diagnostic eye goggle system  10 . The tracked changes in the optical data further provides the potential to identify disease triggering events, to aid in the diagnoses of a future diseases, or the proneness a user may be to a particular disease. By knowing how triggering events are seen from an Ophthalmological standpoint during an eye examination, several mathematical maps can be generated per disease, disease state, and disease stage for diagnosing future users with a particular disease, disease state, or disease stage. 
     In specific inventive embodiments, the master database  14  further receives and stores medical history data of the user linked to the user&#39;s analyzed optical data, mathematical map, and/or mapping identifier. The medical history data may include, but not limited to, a current disease state, a current disease stage, a past disease, height, weight, gender, race, smoking status, alcohol use, family medical history, blood work, and a gene map or DNA sequence of the user. The medical history data of the user and past users is stored in the master database, where the diagnostic software module cross-correlates a present user&#39;s analyzed data, mathematical map, and/or mapping identifier with historical user&#39;s analyzed data, mathematical map, and/or mapping identifier to identify a statistical match therebetween. If the diagnostic software module identifies a match, a diagnosis of one or more disease states or disease stages of the present user may be made based on the medical history of a matched historical user. For example, past user A has a medical history of Alzheimer&#39;s disease. Past user A has a specific mathematical map Y generated by the diagnostic eye goggle system  10 . A new user B then utilizes the eye goggle system  10  that generates a mathematical map Z. The diagnostic software module identifies that mathematical map Y and mathematical map Z are a statistical match. The new user B may then be diagnosed with Alzheimer&#39;s disease. It should be appreciated that a user may be matched with several past user&#39;s having no diseases and thus an identification of no disease for the present user is possible. In another inventive embodiment, the analyzed optical data, mathematical maps, or mapping identifiers may be combined with genetic and other population health data in the master database, where disease analysis and triggering markers for disease initiation can be studied. 
     In specific embodiments, the diagnostic eye goggle system  10  further provides the user or health care provider with lens-correcting instructions or suggestions based on the analyzed wavefront data. Therefore a user receives a disease diagnosis, as well as a diagnosis of the user&#39;s visual acuity, which may be used to improve the user&#39;s visual acuity. 
     With reference to  FIG. 6 , a particular inventive embodiment of a method for diagnosing a disease state or disease stage of a user with the eye goggle system of claim  1  is depicted. The method includes assembling the goggles about the user&#39;s head wherein the front panel is situated in front of the user&#39;s eyes (E) [Block  100 ]. Emitting a first set of radiation on the user&#39;s retina with the radiation source and detecting and collecting a wavefront of reflected radiation reflected from the user&#39;s retina with the sensor [Block  102 ]. Emitting a second set of radiation on the user&#39;s retina with the radiation source and detecting and collecting a spectrum of reflected radiation reflected from the user&#39;s retina with the sensor [Block  104 ]. Emitting a third set of radiation on the user&#39;s retina with the radiation source and detecting and collecting a wavelength of reflected radiation reflected from the user&#39;s retina with the sensor [Block  106 ]. Generating a mathematical map of the eye (E) based on the wavefront, spectrum, and wavelength of the reflected radiation with the microcontroller  24  [Block  108 ]. Transmitting and storing the mathematical map of the eye (E) to a master database for diagnosing future users of the goggles [Block  110 ]. And, cross-correlating the mathematical map of the eye (E) with historical user&#39;s mathematical maps to provide at least one of a disease state, a disease stage, or lens-correcting suggestions to the user [Block  112 ]. Based on the cross-correlation as described above, a disease state is provided to the user [Block  114 ]. The method may further include locating one or more eye features prior to emitting at least one of the first set of radiation, the second set of radiation, or the third set of radiation [Block  116 ]. Medical history data of the user may also be transmitted and stored into the master database to provide historical medical data for identifying at least one of a disease state or disease stage of a future user [Block  118 ]. Finally, the method may include repeating the steps above at several time points for a user having a particular disease to track and store the changes of the mathematical map as a function of disease progression or regression. The tracked changes provide valuable markers to identify disease states or disease stages of a future user of the diagnostic eye goggles  10 . 
     In another inventive embodiment, a method is provided for identifying a disease state or stage of a remote user. The goggles  12  are sent to a remote location having no connectivity to the master database  14 . A first set, second set, and third set of optical eye data are acquired from a plurality of remote users at the remote location [Blocks  102 ,  104 ,  106 ]. The first set, second set, and third set of optical data are interpreted by a processor [Block  108 ] and locally stored in the read-write memory  27  locally associated with the goggles  12  [Block  120 ]. The interpreted data is then transmitted and stored to a master database  14  upon establishing an Internet connection between the goggles  12  and the master database  14  [Block  110 ]. In one embodiment, the transmitted data is then cross-correlated with historical user data stored in the master database  14  to identify at least one of a disease state and/or stage of one or more of the plurality of remote users [Block  112 ]. In another embodiment, the interpreted data is cross-correlated with historical user data stored in the local read-write memory  27  memory associated with the goggles  12  to identify at least one of a disease state and/or disease stage of one or more of the plurality of remote users without having to connect with the master database  14 . 
     Other Embodiments 
     While at least one exemplary embodiment has been presented in the foregoing detail description, it should be appreciated that a vast number of variations exist. It should also be appreciated that the exemplary embodiment or exemplary embodiments are only examples, and are not intended to limit the scope, applicability, or configuration of the described embodiments in any way. It should be understood that various changes may be made in the function and arrangement of elements without departing from the scope as set forth in the appended claims and the legal equivalents thereof.