Source: http://www.google.com/patents/US6449504?dq=5,758,352
Timestamp: 2017-03-28 14:32:26
Document Index: 682778719

Matched Legal Cases: ['art 102', 'art 102', 'art 102', 'art 102', 'art 102', 'art 102', 'art 102', 'art 102', 'art 102', 'art 102', 'art 102', 'art 102', 'art 102', 'art 102', 'art 102', 'art 102', 'art 102', 'art 102', 'art 110', 'art 110', 'art 110', 'art 110']

Patent US6449504 - Arrhythmia display - Google PatentsSearch Images Maps Play YouTube News Gmail Drive More »Sign inPatentsSystems, devices, structures, and methods are provided to present a visual display based on data from an implantable medical device. The display includes a chart showing the frequency of a detected type of arrhythmia over a predetermined period of time....http://www.google.com/patents/US6449504?utm_source=gb-gplus-sharePatent US6449504 - Arrhythmia displayAdvanced Patent SearchTry the new Google Patents, with machine-classified Google Scholar results, and Japanese and South Korean patents.Publication numberUS6449504 B1Publication typeGrantApplication numberUS 09/382,292Publication dateSep 10, 2002Filing dateAug 24, 1999Priority dateAug 20, 1999Fee statusPaidAlso published asWO2001014008A1, WO2001014008A9Publication number09382292, 382292, US 6449504 B1, US 6449504B1, US-B1-6449504, US6449504 B1, US6449504B1InventorsVickie L. Conley, Allan T. KoshiolOriginal AssigneeCardiac Pacemakers, Inc.Export CitationBiBTeX, EndNote, RefManPatent Citations (63), Referenced by (99), Classifications (4), Legal Events (5) External Links: USPTO, USPTO Assignment, EspacenetArrhythmia display
US 6449504 B1Abstract
Systems, devices, structures, and methods are provided to present a visual display based on data from an implantable medical device. The display includes a chart showing the frequency of a detected type of arrhythmia over a predetermined period of time.
What is claimed is: 1. A display comprising:
a first graph to show a frequency of at least one type of ventricular arrhythmia over a predetermined amount of time; and a second graph to show a frequency of at least one type of atrial arrhythmia over the predetermined amount of time. 2. The display of claim 1, wherein the at least one type of ventricular arrhythmias includes ventricular fibrillation, sustained ventricular tachycardia, and non-sustained ventricular tachycardia.
3. The display of claim 2, wherein the first graph is capable of showing a sustained ventricular tachycardia based upon a detection zone programmatically determined by a user.
4. The display of claim 1, wherein the predetermined amount of time is about five months or greater.
5. The display of claim 1, wherein the display selectively scales the first graph based on the frequency of the at least one type of ventricular arrhythmia over the predetermined amount of time.
6. The display of claim 1, wherein the display selectively scales the second graph based on the frequency of the at least one type of atrial arrhythmia over the predetermined amount of time.
7. The display of claim 1, wherein the first graph is a column graph, wherein the ordinate of the column graph is scaled to the frequency of the at least one type of ventricular arrhythmia over the predetermined amount of time, and wherein the abscissa of the column graph shows a column for each type of ventricular arrhythmia.
8. The display of claim 7, wherein each column showing each type of ventricular arrhythmia is diverse is color.
9. The display of claim 8, wherein color includes gray scale.
10. The display of claim 7, wherein each column showing each type of ventricular arrhythmia is diverse in pattern.
11. The display of claim 7, wherein each column showing each type of ventricular arrhythmia is diverse in pattern and color.
12. The display of claim 11, wherein the color includes gray scale.
13. The display of claim 1, wherein the second graph is a column graph, wherein the ordinate of the column graph is scaled to the frequency of the at least one type of atrial arrhythmia over the predetermined amount of time, and wherein the abscissa of the column graph shows a column for each type of atrial arrhythmia.
14. The display of claim 13, wherein each column showing each type of atrial arrhythmia is diverse is color.
15. The display of claim 14, wherein color includes gray scale.
16. The display of claim 13, wherein each column showing each type of atrial arrhythmia is diverse in pattern.
17. The display of claim 13, wherein each column showing each type of atrial arrhythmia is diverse in pattern and color.
18. The display of claim 17, wherein the color includes gray scale.
19. The display of claim 1, wherein the first graph includes a legend to show the at least one type of ventricular arrhythmia.
20. The display of claim 1, wherein the second graph includes a legend to show the at least one type of ventricular arrhythmia.
21. The display of claim 1, wherein the display is a real-time display.
22. The display of claim 1, wherein at least one graph among the first graph and the second graph is formed from data from an implantable medical device.
23. A method of performing a medical diagnostic, the method comprising:
receiving data stored in an implantable medical device; viewing a display that includes at least one graph showing the frequency of at least one type of arrhythmia over a predetermined period of time, wherein the at least one graph is formed from the data received from the implantable medical device; and deriving a diagnostic based at least on the at least one graph. 24. The method of claim 23, wherein viewing the display includes viewing the at least one graph showing the frequency of ventricular arrhythmia, wherein ventricular arrhythmia includes ventricular fibrillation, sustained ventricular tachycardia, and non-sustained ventricular tachycardia.
25. The method of claim 24, wherein viewing the display includes viewing another graph showing the frequency of atrial arrhythmia, wherein atrial arrhythmia includes atria tachycardia.
26. The method of claim 24, wherein viewing the display includes viewing the at least one graph that is capable of showing a sustained ventricular tachycardia based on a detection zone programmatically determined by a user.
27. The method of claim 23, wherein viewing the display includes viewing the at least one graph showing the frequency of the at least one type of arrhythmia over a period of about five months or greater.
28. A method of therapy, the method comprising:
viewing a display that includes at least one graph showing the frequency of at least one type of arrhythmia over a predetermined period of time; deriving a set of programming variable values based at least on the at least one graph to program an implantable medical device; and transmitting the set of programming variable values to the implantable medical device so as to apply a therapy when a patient experiences a predetermined type of arrhythmia. 29. The method of claim 28, wherein viewing the display includes viewing the at least one graph showing the frequency of ventricular arrhythmia, wherein ventricular arrhythmia includes ventricular fibrillation, sustained ventricular tachycardia, and non-sustained ventricular tachycardia.
30. The method of claim 29, wherein viewing the display includes viewing another graph showing the frequency of atrial arrhythmia, wherein atrial arrhythmia includes atria tachycardia.
31. The method of claim 29, wherein viewing the display includes viewing the at least one graph that is capable of showing a sustained ventricular tachycardia based on a detection zone programmatically determined by a user.
32. The method of claim 28, wherein viewing the display includes viewing the at least one graph showing the frequency of the at least one type of arrhythmia over a period of about five months or greater.
an implantable medical device that includes: a controller to control the implantable medical device; memory coupled to the controller to store at least one occurrence of at least one type of arrhythmia over a predetermined period of time; and a medical device transmitter coupled to the controller to transmit the at least one occurrence of the at least one type of arrhythmia; and a programmer that includes: a processor to control the programmer; a programmer receiver coupled to the processor to receive the at least one occurrence of the at least one type of arrhythmia; and a display that includes at least one graph showing the frequency of the at least one occurrence of the at least one type of arrhythmia over the predetermined period of time. 34. The system of claim 33, wherein the at least one graph shows the frequency of ventricular arrhythmia, wherein ventricular arrhythmia includes ventricular fibrillation, sustained ventricular tachycardia, and non-sustained ventricular tachycardia.
35. The system of claim 34, wherein the display includes another graph showing the frequency of atrial arrhythmia, wherein atrial arrhythmia includes atria tachycardia.
36. The system of claim 33, wherein the implantable medical device further comprises a medical device receiver, wherein the programmer further comprises a programmer transmitter, and wherein the programmer is capable of defining at least one detection zone for sustained ventricular tachycardia.
37. The system of claim 36, wherein the programmer transmitter transmits the at least one detection zone to the medical device receiver.
38. The system of claim 34, wherein the at least one graph is capable of showing the sustained ventricular tachycardia based on the at least one detection zone.
39. A data structure to record a frequency of at least one type of arrhythmia so as to allow a presentation of the frequency of the at least one type of arrhythmia, the data structure comprising:
at least one count variable to contain a count of a frequency of the at least one type of arrhythmia; and a recorded episode data structure to ascertain that the at least one type of arrhythmia is present, wherein once the recorded episode data structure ascertains that the at least one type of arrhythmia is present, the at least one count variable for the at least one type of arrhythmia is incremented. 40. The data structure of claim 39, wherein the data structure further comprises a detected episode data structure to determine that the at least one type of arrhythmia has been detected.
41. The data structure of claim 40, wherein the detected episode data structure further comprises a state to indicate whether the at least one type of arrhythmia has been detected.
42. The data structure of claim 41, wherein the detected episode data structure is object-oriented, wherein the detected episode data structure further comprises an act of monitoring a heart rate to determine if the heart rate reached a predetermined threshold, wherein when the heart rate has reached a predetermined threshold, the state of the detected episode data structure indicates that the at least one type of arrhythmia has been detected.
43. A programmer to program an implantable medical device, the programmer comprising:
a processor to control the programmer; a programmer receiver coupled to the processor to receive at least one occurrence of at least one type of arrhythmia; and a display that includes at least one graph showing the frequency of the at least one occurrence of the at least one type of arrhythmia over the predetermined period of time. 44. A method of presenting at least one type of arrhythmia, the method comprising:
monitoring a heart rate over a first predetermined duration; triggering when the heart rate reaches a predetermined threshold over the first predetermined duration to define a detected arrhythmia episode; recording when the detected arrhythmia episode is sustained over a second predetermined duration and a therapy is applied; and displaying at least one graph to show the frequency of the detected arrhythmia episode over a predetermined period of time. 45. The method of claim 43, wherein the acts of monitoring, triggering, or recording are iterated over the predetermined period of time before displaying the at least one graph.
This application is a continuation-in-part of U.S. patent application Ser. No. 09/378,030, filed on Aug. 20, 1999, the specification of which is incorporated herein by reference.
The present invention relates generally to implantable medical devices. More particularly, it pertains to displaying arrhythmia episodes based on data taken from implantable medical devices.
A normal human heart beats between 60 to 100 times per minute. However, when a person gets excited or frightened or has an illness such as congenital heart disease, the heart may beat faster than 100 times per minute. A disruption in the normal heart rate or rhythm is known as arrhythmia.
Arrhythmias are caused by abnormal functioning of the electrical conduction of the heart. Normally, the chambers of the heart (atria and ventricles) work in a coordinated manner. The electrical conduction begins with an electrical impulse originating in the sinoatrial node. This impulse is then moved through the atria, stimulates them to contract, and then is moved to its final destination at the ventricles, where it stimulates them to contract also. Any problems along this conduction path may cause arrhythmias.
Certain types of arrhythmia are lethal and may cause severe damage to various organs in the body by initially decreasing the pumping of the heart. When the pumping of the heart is decreased by more than a few seconds, blood circulation is essentially stopped, and organ damage (such as brain damage) may occur within a few minutes.
Arrhythmias have been treated by the use of a pacemaker that applies shock therapy. A pacemaker is a medical device that delivers controlled electrical pulses to an electrode that is implanted adjacent to or in the heart. These controlled electrical pulses stimulate the heart so that it will contract and beat at a desired rate. The delivery of these controlled electrical pulses is often tailored to the individual patient.
A physician at times needs to reassess the therapy applied by the pacemaker. One technique is for the physician to obtain a printed listing of the therapy data from the pacemaker and reformulate the therapy. However, what has been frustrating for the physician is that the use of the listing of data to reformulate the therapy has been laborious, time-intensive, and error-prone.
Thus, what is needed are systems, devices, structures, and methods to ease the use of the therapy data by a physician.
The above-mentioned problems with the use of data from an implantable medical device as well as other problems are addressed by the present invention and will be understood by reading and studying the following specification. Systems, devices, structures, and methods are described which ease the use of therapy data by a physician.
In particular, an illustrative embodiment includes an exemplary display. This display comprises a first graph to show a frequency of at least one type of ventricular arrhythmia over a predetermined amount of time. The display also comprises a second graph to show a frequency of at least one type of atrial arrhythmia over the predetermined amount of time.
Another illustrative embodiment includes an exemplary method of performing a medical diagnostic. The method comprises receiving data stored in an implantable medical device, viewing a display that includes at least one graph showing the frequency of at least one type of arrhythmia over a predetermined period of time. The graph is formed from the data received from the implantable medical device. The method further comprises deriving a diagnostic based at least on the graph.
A further illustrative embodiment includes an exemplary method of therapy. The method comprises viewing a display that includes at least one graph showing the frequency of at least one type of arrhythmia over a predetermined period of time. The method further comprises deriving a set of programming variable values based at least on the graph to program an implantable medical device. The method further comprises transmitting the set of programming variable values to the implantable medical device so as to apply a therapy when a patient experiences a predetermined type of arrhythmia.
A further illustrative embodiment includes an exemplary system. The system comprises an implantable medical device. The implantable medical device includes a controller to control the implantable medical device, memory coupled to the controller to store at least one occurrence of at least one type of arrhythmia over a predetermined period of time, and a medical device transmitter coupled to the controller to transmit the at least one occurrence of the at least one type of arrhythmia. The system further comprises a programmer. The programmer includes a processor to control the programmer, a programmer receiver coupled to the processor to receive the at least one occurrence of the at least one type of arrhythmia, and a display that includes at least one graph showing the frequency of the at least one occurrence of the at least one type of arrhythmia over the predetermined period of time.
A further illustrative embodiment includes an exemplary data structure. The data structure comprises at least one count variable to contain a count of a frequency of the at least one type of arrhythmia. The data structure further comprises a recorded episode data structure to ascertain that at least one type of arrhythmia is present, wherein once the recorded episode data structure ascertains that at least one type of arrhythmia is present, the one count variable for the type of arrhythmia is incremented.
A further illustrative embodiment includes a programmer. The programmer comprises a processor to control the programmer, a programmer receiver coupled to the processor to receive at least one occurrence of at least one type of arrhythmia, and a display that includes at least one graph showing the frequency of at least one occurrence of at least one type of arrhythmia over the predetermined period of time.
A further illustrative embodiment includes a method of presenting at least one type of arrhythmia. The method comprises monitoring a heart rate over a first predetermined duration, triggering when the heart rate reaches a predetermined threshold over the first predetermined duration to define a detected arrhythmia episode, recording when the detected arrhythmia episode is sustained over a second predetermined duration and a therapy is applied, and displaying at least one graph to show the frequency of the detected arrhythmia episode over a predetermined period of time.
These and other embodiments, aspects, advantages, and features of the present invention will be set forth in part in the description which follows, and in part will become apparent to those skilled in the art by reference to the following description of the invention and drawings or by practice of the invention. The aspects, advantages, and features of the invention are realized and attained by means of the instrumentalities, procedures, and combinations particularly pointed out in the appended claims.
FIG. 1A is a pictorial diagram illustrating a display in accordance with one embodiment.
FIG. 1B is a pictorial diagram illustrating a display in accordance with one emobidment.
FIG. 2 is a flow diagram illustrating a method in accordance with one embodiment.
FIG. 3 is a flow diagram illustrating a method in accordance with one embodiment.
FIG. 4 is a block diagram illustrating a system in accordance with one embodiment.
FIGS. 5A-B are block diagrams illustrating data structures in accordance with one embodiment.
FIG. 6 is a flow diagram illustrating a method in accordance with one embodiment.
The embodiments described herein focus on visual communication of data to a professional, such as a physician, who is making a diagnostic or changing a therapy for a patient having an implantable medical device, such as a pacemaker, implantable cardioverter defibrillator, or defibrillator.
Implantable cardioverter defibrillators are designed to detect and provide therapy for various types of arrhythmia that include ventricular tachycardia and ventricular fibrillation. Each device may include a pulse generator to generate pulses that may be used in a therapy session. An external component, such as a programmer, allows interrogation and programming of the pulse generator, as well as access to the device's diagnostic features. Each device can be programmed to provide a variety of detection options. Each can also provide noninvasive diagnostic testing and therapy history data. In one embodiment, an implantable cardioverter defibrillator may also act as a pacer.
In the case of an implantable cardioverter defibrillator, the embodiments provide for a presentation that enables a physician to quickly analyze the history of shock therapy that has been applied to the patient by the implantable cardioverter defibrillator over a period of time. Certain conclusions that can be drawn from looking at the visual history provided by the embodiments include whether the patient is experiencing a lot of shock therapy, whether the shock therapy is applied infrequently, or whether the therapy is applied regularly. Based on conclusions drawn from the presentation of the embodiments, the physician may decide to adjust the therapy delivered by the implantable cardioverter defibrillator, or to medicate the patient with antiarrhythmic medications, or both.
FIG. 1A is a pictorial diagram illustrating a display in accordance with one embodiment. In this embodiment, the display 100 includes chart 102. In one embodiment, the display 100 is a real-time display. In one embodiment, chart 102 is a graph. In another embodiment, chart 102 is a column graph as shown in FIG. 1A. In another embodiment, the chart 102 is a bar graph. In another embodiment, the chart 102 is a line graph. In another embodiment, the chart 102 is a pie graph. In another embodiment, the chart 102 is an XY graph. In another embodiment, the chart 102 is an area graph. Other charts and graphs may be used without departing from the present invention. In all embodiments, the chart 102 visually presents the variation of a variable with respect to one or more other variables.
The graph 102 includes symbols 108 0, 108 1, 108 2, . . . , and 108 N. Each symbol is indicative of the type of arrhythmia that was detected by an implantable cardioverter defibrillator implanted in a patient. In one embodiment, the type of arrhythmia includes ventricular arrhythmia. In another embodiment, ventricular arrhythmia includes ventricular fibrillation, sustained ventricular tachycardia, or non-sustained ventricular tachycardia. In one embodiment, sustained ventricular tachycardia is understood to mean the inclusion of a detected ventricular tachycardia for a predetermined period of time for which an appropriate shock therapy was delivered. In another embodiment, non-sustained ventricular tachycardia is understood to mean the inclusion of a detected ventricular tachycardia for which shock therapy was not delivered because such detection did not meet additional criteria, such as the duration of the occurrence of the detected ventricular tachycardia.
In the chart 102, the symbol 108 0 is indicative of detected episodes of ventricular fibrillation. The symbol 108 1, is indicative of detected episodes of ventricular tachycardia. The symbol 108 2 is indicative of detected episodes of user-defined ventricular tachycardia. The symbol 108 N is indicative of detected episodes of non-sustained ventricular tachycardia. In one embodiment, a user can define a zone of interest within a detection of ventricular tachycardia. When a ventricular tachycardia occurs within this zone of interest, its frequency may be recorded and displayed by the symbol 108 2. The zone of interest includes a dependency on a user-programmed range of heart rates. In another embodiment, the user can define three zones of interest. In another embodiment, a zone is a range of heart rates that is programmed for each type of tachyarrhythmia that can be treated by a separate therapy prescription.
Symbols 108 0, 108 1, 108 2, . . . , 108 N may be composed of diverse symbol types, colors, patterns, fills, and line-widths. In chart 102, these symbols are columns with distinguishing patterns and fills. The term symbol types is not limited to the column symbol as shown in FIG. 1A, but is inclusive of any symbols that can serve to visually communicate the frequency of detected episodes of a particular arrhythmia. The term colors is understood to mean the inclusion of gray scale.
Symbols 108 0, 108 1, 108 2, . . . , 108 N may be grouped together in a cluster. In chart 102, clusters 126 0, 126 1, 126 2, 126 3, 126 4, . . . , 126 N represent a time period when the episodes of various types of arrhythmia were detected. In one embodiment, the time period is about five months. In another embodiment, the time period is greater than about five months. In another embodiment, the time period is less than about five months.
The chart 102 includes a legend 104. The legend 104 explains the symbols on the chart 102. In one embodiment, the legend 104 explains the symbols on the chart 102 by associating a text label with a sample of the specific symbol.
The chart 102 includes numerical data label 106 on the ordinate of the chart 102. The data label 106 is indicative of the number of episodes of detected arrhythmia. In one embodiment, the numerical data in label 106 are selectively scaled based on the range of frequency of the detected episodes of various typies of arrhythmia.
The chart 102 includes gridlines 116. The gridlines 116 are placed at predetermined intervals to visually conmmunicate the level of frequency with respect to the symbols 108 0., 108 1, 108 2, . . . , 108 N.
The display 100 also includes a chart 110. In one embodiment, the chart 110 contains graphical elements as described above and so the above description is incorporated here. In one embodiment, the chart 110 contains symbol 128. This symbol is indicative of the type of arrhythmia that was detected by an implantable cardioverter defibrillator implanted in a patient. In one embodiment, as demonstrated by FIG. 1B, the type of arrhythmia includes atrial arrhythmia. The chart 110 includes a legend 114, gridlines 116, numerical data label 112, and clusters 130 0, 130 1, 130 2, 130 3, 130 4, . . . 130 N.
The display 100 includes a title 120. In one embodiment, this title is user-definable and may be placed at the top to be conspicuous. In another embodiment, the display 100 automatically displays a pre-set title 120. The title 120 serves to communicate the purpose of the display 100. The display 100 also includes a data title 122. This data title 122 serves to communicate the purpose of the numerical data labels 106 and 112.
The display 100 also includes an electrogram display 132. The electrogram display 132 shows intervals that are the time difference from beat to beat. The electrogram display 132 also shows markers. Markers are labels of the type of arrhythmia on the electrogram. For example, if ventricular tachycardia is on the electrogram, the region of the electrogram associated with this arrhythmia would be labeled VT. The electrogram display 132 may automatically provide electrogram channel display appropriate for the arrhythmia activities shown or other cardiac activities.
FIG. 2 is a flow diagram illustrating a method in accordance with one embodiment. The method 200 is usable by a professional, such as a physician, to diagnose a medical condition based on the data received from an implantable medical device. The method 200 begins at block 202 for receiving episode data that is stored in an implantable medical device, such as an implantable cardioverter defibrillator. Next, at block 204, such data is processed and correlated into a presentation that is viewable on a display. The display shows at least one graph showing the frequency of each detected type of arrhythmia that a patient has experienced over a predetermined period of time, such as five months. Next, at block 206, a physician makes a diagnostic based on such presentation and adjusts the implantable cardioverter defibrillator, or prescribes medicine, or both.
FIG. 3 is a flow diagram illustrating a method in accordance with one embodiment. Method 300 is usable by a professional, such as a physician, to diagnose a medical condition based on the data received from an implantable medical device to change the therapy that a patient has been receiving. The method 300 begins at block 302 where a physician can view a display that has at least one graph showing the frequency of each type of arrhythmia that the patient has experienced over a predetermined period of time, such as five months or greater. At block 304, the physician can derive a set of programming variable values based on his observation of the display. These programming variable values are used to reprogram the implantable medical device, such as an implantable cardioverter defibrillator. The reprogrammed implantable medical device would deliver a different therapy when a patient experiences a predetermined type of arrhythmia, such as ventricular fibrillation. At block 306, the set of programming variable values are transmitted to the implantable medical device so as to reprogram it. In one embodiment, such transmission is made through wireless telemetry techniques. In another embodiment, such transmission is made through wired telemetry techniques.
FIG. 4 is a block diagram illustrating a system in accordance with one embodiment. The system 400 includes an implantable medical device 402. In one embodiment, implantable medical device 402 includes an implantable cardioverter defibrillator. The device 402 includes a controller 404 to control the device 402. The device 402 includes memory 410 that is coupled to the controller 404. In one embodiment, the memory 410 stores a count for each occurrence of each detected type of arrhythmia that the patient experiences, and perhaps, sensed details of each arrhythmia event. The device 402 includes a transmitter 408 that is coupled to the controller 404. In one embodiment, the transmitter 408 transmits each count upon a request by a user, such as a physician. The device 402 includes a receiver 408 that is coupled to the controller 404. In one embodiment, the receiver 408 is receptive to reprogramming instructions from a user, such as a physician.
The system 400 includes a programmer 414. The programmer 414 includes a processor 416 to control the programmer 414. The programmer 414 includes a coupling network 418, such as a bus. The programmer 414 includes a programmer receiver 424. In one embodiment, the programmer receiver 424 is receptive to a transmission from the transmitter 408 to receive each count for each occurrence of each detected type of arrhythmia that the patient experiences. The programmer 414 includes a programmer transmitter 420. In one embodiment, the programmer transmitter 420 is used to reprogram the implantable medical device 402 to apply a different therapy when a type of arrhythmia is detected. The programmer transmitter 420 can also be used to transmit a detection zone of interest which the device 402 classifies after detecting a type of arrhythmia. The programmer 414 includes a display 422. The display 422 is capable of displaying at least one graph showing the frequency of each detected type of arrhythmia that the patient has experienced over a predetermined period of time, such as five months or greater. The display 422 is capable of displaying the frequency associated with the types of arrhythmia specified within the zone of interest. In one embodiment, the zone of interest is specifiable by a user, and is can be transmitted by the programmer transmitter 420 to the device 402.
FIGS. 5A-B are block diagrams illustrating data structures in accordance with one embodiment. FIG. 5A shows a data structure 500 to record at least one frequency of at least one detected type of arrhythmia. In one embodiment, the data structure can be transmitted from an implantable medical device back to a programmer so that each frequency of each detected type of arrhythmia can be displayed. In another embodiment, only a part of the data structure is transmitted back to the programmer. In one embodiment, the data structure 500 is objectoriented, such as a class.
The data structure 500 includes a variable “ventricular fibrillation” 502 to store a count of each occurrence of detected ventricular fibrillation that a patient experiences over a predetermined period of time, such as five months. The data structure 500 includes a variable “ventricular tachycardia” 504 to store a count of each occurrence of detected ventricular tachycardia that a patient experiences over the same predetermined period of time as used in variable 502. The data structure 500 includes a variable “ventricular tachycardia 1” 506 to store a count of each occurrence of a detected user-defined zone of interest for ventricular tachycardia that a patient experiences over the same predetermined period of time as used in variable 502. The data structure 500 includes a variable “non-sustained ventricular tachycardia” 508 to store a count of each occurrence of detected arrhythmia that did not meet other criteria for a therapy to be delivered to the patient. In another embodiment, variables 502, 504, and 506 store a count of each occurrence of a different detected user-defined zone of interest.
In one embodiment, the data structure 500 includes a data structure entitled detected episode 510. In another embodiment, the data structure 500 contains a pointer to the detected episode data structure 510. In one embodiment, the detected episode data structure 510 contains information that at least one type of arrhythmia has been detected based on a number of criteria, such as heart rate. The data structure 500 also includes a data structure entitled recorded episode 512. In another embodiment, the data structure 500 contains a pointer to the recorded episode data structure 512. In one embodiment, the recorded episode data structure 512 contains information to confirm that the detected arrhythmia is present according to additional criteria, such as the duration of the detected arrhythmia. If the recorded episode data structure 512 confirms that a detected arrhythmia is present in the patient, one of the appropriate variables 502, 504, 506, or 508 will be incremented to reflect the occurrence of the detected arrhythmia.
FIG. 5B shows the data structure 510 in greater detail. The data structure 510 includes a state 514 to determine that at least one type of arrhythmia has been detected. In one embodiment, the data structure 510 is object-oriented. In this embodiment, the data structure 510 is a class and further includes a method of monitoring the heart rate to determine if it has reached a certain predetermined threshold, such as above 160 beats per minute. When the heart rate has reached the predetermined threshold, the state 514 is updated to indicate that the particular type of arrhythmia has been detected.
FIG. 6 is a flow diagram illustrating a method in accordance with one embodiment. The method 600 begins at block 602. Block 602 monitors a heart rate over a duration that is predetermined. If the heart rate reaches at least one certain threshold, such as over 160 beats per minute, block 604 triggers and depending on the heart rate and other factors, the type of arrhythmia is classified as being detected.
Next, the method 600 continues to monitor the detected arrhythmia and apply additional criteria at block 606. For example, if the detected arrhythmia episode is sustained over another predetermined duration of time, a therapy may be applied. Depending on the outcome of the therapy, the block 606 records and classifies the occurrence of the particular type of arrhythmia. In one embodiment, the block 606 simply records the occurrence of the detected type of arrhythmia as detected in block 604.
In one embodiment, the above flow may be iterated for a predetermined period of time, such as five months. In another embodiment, only individual blocks, such as block 602 or block 604, or both are iterated. At the end of this period, the recorded data is transmitted to a display. At block 608, the display reformats the data to present a visual presentation that is easy to understand to a professional, such as a physician.
Thus, systems, devices, structures, and methods have been described to visually present data from an implantable medical device to a professional, such as a physician.
Patent CitationsCited PatentFiling datePublication dateApplicantTitleUS4006737Jan 4, 1974Feb 8, 1977Del Mar Engineering LaboratoriesElectrocardiographic computerUS4090505Jun 1, 1976May 23, 1978Marquette Electronics, Inc.Electrocardiographic recording method and meansUS4166470Oct 17, 1977Sep 4, 1979Medtronic, Inc.Externally controlled and powered cardiac stimulating apparatusUS4172459Oct 17, 1977Oct 30, 1979Medtronic, Inc.Cardiac monitoring apparatus and monitorUS4187854Oct 17, 1977Feb 12, 1980Medtronic, Inc.Implantable demand pacemaker and monitorUS4316249Nov 9, 1979Feb 16, 1982Hittman CorporationAutomatic high speed Holter scanning systemUS4336810Sep 30, 1980Jun 29, 1982Del Mar AvionicsMethod and apparatus for arrhythmia analysis of ECG recordingsUS4509530Dec 27, 1983Apr 9, 1985International Business Machines CorporationSystem for plotting a miniature ECGUS4549552Feb 23, 1984Oct 29, 1985Siemens Gammasonics, Inc.Heart sound detector and cardiac cycle data are combined for diagnostic reliabilityUS4680708Nov 5, 1984Jul 14, 1987Washington UniversityMethod and apparatus for analyzing electrocardiographic signalsUS4947857Feb 1, 1989Aug 14, 1990Corazonix CorporationMethod and apparatus for analyzing and interpreting electrocardiograms using spectro-temporal mappingUS4974598Mar 28, 1989Dec 4, 1990Heart Map, Inc.EKG system and method using statistical analysis of heartbeats and topographic mapping of body surface potentialsUS5012814Nov 9, 1989May 7, 1991Instromedix, Inc.Implantable-defibrillator pulse detection-triggered ECG monitoring method and apparatusUS5027824Dec 1, 1989Jul 2, 1991Edmond DoughertyMethod and apparatus for detecting, analyzing and recording cardiac rhythm disturbancesUS5046504Apr 6, 1990Sep 10, 1991Corazonix CorporationMethod and apparatus for analyzing and interpreting electrocardiograms using spectro-temporal mappingUS5047930Jun 26, 1987Sep 10, 1991Nicolet Instrument CorporationMethod and system for analysis of long term physiological polygraphic recordingsUS5050612Sep 12, 1989Sep 24, 1991Matsumura Kenneth NDevice for computer-assisted monitoring of the bodyUS5052395Nov 16, 1988Oct 1, 1991Waters Instruments, Inc.Non-invasive ultrasonic pulse doppler cardiac output monitorUS5113869Aug 21, 1990May 19, 1992Telectronics Pacing Systems, Inc.Implantable ambulatory electrocardiogram monitorUS5299118Sep 5, 1991Mar 29, 1994Nicolet Instrument CorporationMethod and system for analysis of long term physiological polygraphic recordingsUS5309919Mar 2, 1992May 10, 1994Siemens Pacesetter, Inc.Method and system for recording, reporting, and displaying the distribution of pacing events over time and for using same to optimize programmingUS5311873Aug 28, 1992May 17, 1994Ecole PolytechniqueComparative analysis of body surface potential distribution during cardiac pacingUS5315512Sep 1, 1989May 24, 1994Montefiore Medical CenterApparatus and method for generating image representations of a body utilizing an ultrasonic imaging subsystem and a three-dimensional digitizer subsystemUS5341811Mar 26, 1991Aug 30, 1994Allegheny-Singer Research InstituteMethod and apparatus for observation of ventricular late potentialsUS5342402Jan 29, 1993Aug 30, 1994Medtronic, Inc.Method and apparatus for detection and treatment of tachycardia and fibrillationUS5487754Oct 25, 1994Jan 30, 1996Pacesetter, Inc.Method and apparatus for reporting and displaying a sequential series of pacing eventsUS5487755Oct 25, 1994Jan 30, 1996Pacesetter, Inc.Methods for displaying a sequential series of pacing eventsUS5513645Nov 16, 1994May 7, 1996Ela Medical S.A.Holter functions with a zoom featureUS5535753Oct 4, 1994Jul 16, 1996Rutgers UniversityApparatus and methods for the noninvasive measurement of cardiovascular system parametersUS5555888Feb 27, 1995Sep 17, 1996Brewer; James E.Method for automatic, adaptive, active facilitation to access myocardial electrical instabilityUS5584298Oct 25, 1993Dec 17, 1996Kabal; JohnNoninvasive hemodynamic analyzer alterable to a continuous invasive hemodynamic monitorUS5613495Jul 6, 1995Mar 25, 1997Instromedix, Inc.High functional density cardiac monitoring system for captured windowed ECG dataUS5626620Feb 21, 1995May 6, 1997Medtronic, Inc.Dual chamber pacing system and method with continual adjustment of the AV escape interval so as to maintain optimized ventricular pacing for treating cardiomyopathyUS5626623Apr 30, 1996May 6, 1997Medtronic, Inc.Method and apparatus for optimizing pacemaker AV delayUS5628321Dec 18, 1995May 13, 1997Diasonics Ultrasound, Inc.Processing velocity information in an ultrasonic systemUS5643255Dec 12, 1994Jul 1, 1997Hicor, Inc.Steerable catheter with rotatable tip electrode and method of useUS5647369Apr 19, 1996Jul 15, 1997Rutgers UniversityApparatus and methods for the noninvasive measurment of cardiovascular system parametersUS5683431Mar 27, 1996Nov 4, 1997Medtronic, Inc.Verification of capture by sensing evoked response across cardioversion electrodesUS5687737Oct 31, 1994Nov 18, 1997Washington UniversityComputerized three-dimensional cardiac mapping with interactive visual displaysUS5697959Jan 11, 1996Dec 16, 1997Pacesetter, Inc.Method and system for analyzing and displaying complex pacing event recordsUS5713366 *Sep 16, 1996Feb 3, 1998Sulzer Intermedics Inc.Method and apparatus for dual chamber cardiac analysisUS5716383Jun 24, 1996Feb 10, 1998Medtronic, Inc.Dual chamber pacing system and method with continual adjustment of the AV escape interval so as to maintain optimized ventricular pacing for treating cardiomyopathyUS5716384Jul 8, 1996Feb 10, 1998Pacesetter, Inc.Method and system for organizing, viewing and manipulating information in implantable device programmerUS5722999Aug 2, 1995Mar 3, 1998Pacesetter, Inc.System and method for storing and displaying historical medical data measured by an implantable medical deviceUS5724985Aug 2, 1995Mar 10, 1998Pacesetter, Inc.User interface for an implantable medical device using an integrated digitizer display screenUS5743268Apr 11, 1995Apr 28, 1998Kabal; JohnNoninvasive hemodynamic analyzer alterable to a continuous invasive hemodynamic monitorUS5749906Dec 3, 1996May 12, 1998Medtronic, Inc.Dual chamber pacing system and method with continual adjustment of the AV escape interval so as to maintain optimized ventricular pacing for treating cardiomyopathyUS5749907Feb 18, 1997May 12, 1998Pacesetter, Inc.System and method for identifying and displaying medical data which violate programmable alarm conditionsUS5772604Mar 14, 1997Jun 30, 1998Emory UniversityMethod, system and apparatus for determining prognosis in atrial fibrillationUS5788640Oct 26, 1995Aug 4, 1998Peters; Robert MitchellSystem and method for performing fuzzy cluster classification of stress testsUS5792204Jun 13, 1996Aug 11, 1998Pacesetter, Inc.Methods and apparatus for controlling an implantable device programmer using voice commandsUS5817137Jun 30, 1997Oct 6, 1998Medtronic, Inc.Compressed patient narrative storage in and full text reconstruction from implantable medical devicesUS5833623May 5, 1997Nov 10, 1998Pacesetter, Inc.System and method for facilitating rapid retrieval and evaluation of diagnostic data stored by an implantable medical deviceUS5891179Nov 20, 1997Apr 6, 1999Paceseter, Inc.Method and apparatus for monitoring and displaying lead impedance in real-time for an implantable medical deviceUS5924989Mar 31, 1997Jul 20, 1999Polz; HansMethod and device for capturing diagnostically acceptable three-dimensional ultrasound image data recordsUS5951484Jul 31, 1998Sep 14, 1999Harbinger Medical, Inc.Method of noninvasively determining a patient's susceptibility to arrhythmiaUS5954664Aug 7, 1997Sep 21, 1999Seegobin; Ronald D.Noninvasive system and method for identifying coronary disfunction utilizing electrocardiography derived dataUS5961467Apr 1, 1997Oct 5, 1999Shimazu; HideakiCardiovascular system observation methodUS5974341Dec 22, 1997Oct 26, 1999Pacesetter, Inc.Method and apparatus for detecting and displaying diagnostic information in conjunction with intracardiac electrograms and surface electrocardiogramsUS6004276Mar 3, 1997Dec 21, 1999Quinton Instrument CompanyOpen architecture cardiology information systemUS6016442Mar 25, 1998Jan 18, 2000Cardiac Pacemakers, Inc.System for displaying cardiac arrhythmia dataUS6017307Nov 6, 1997Jan 25, 2000Vasocor, Inc.Integrated peripheral vascular diagnostic system and method thereforEP0565084A2Apr 7, 1993Oct 13, 1993Spacelabs Medical, Inc.A method and system for heart rate variability analysis* Cited by examinerReferenced byCiting PatentFiling datePublication dateApplicantTitleUS6843801Apr 8, 2002Jan 18, 2005Cardiac Pacemakers, Inc.Method and system for identifying and displaying groups of cardiac arrhythmic episodesUS6941167Dec 15, 2000Sep 6, 2005Cardiac Pacemakers, Inc.System and method for displaying cardiac eventsUS7089056Nov 13, 2001Aug 8, 2006Cardiac Pacemakers, Inc.Change log for implantable medical deviceUS7117037Jan 27, 2003Oct 3, 2006Cardiac Pacemakers, Inc.Event marker alignment by inclusion of event marker transmission latency in the real-time data streamUS7191006 *Dec 5, 2002Mar 13, 2007Cardiac Pacemakers, Inc.Cardiac rhythm management systems and methods for rule-illustrative parameter entryUS7212850Jan 16, 2004May 1, 2007Cardionet, Inc.System and method for processing and presenting arrhythmia information to facilitate heart arrhythmia identification and treatmentUS7286872Oct 7, 2003Oct 23, 2007Cardiac Pacemakers, Inc.Method and apparatus for managing data from multiple sensing channelsUS7406348Apr 27, 2005Jul 29, 2008Cardiac Pacemakers, Inc.System and method for displaying a histogram of cardiac eventsUS7418295Dec 22, 2004Aug 26, 2008Cardiac Pacemakers, Inc.Method and system for identifying and displaying groups of cardiac arrhythmic episodesUS7471980Dec 22, 2003Dec 30, 2008Cardiac Pacemakers, Inc.Synchronizing continuous signals and discrete events for an implantable medical deviceUS7604603Jul 8, 2004Oct 20, 2009Vivometrics, Inc.Method and system for extracting cardiac parameters from plethysmographic signalsUS7630755May 4, 2005Dec 8, 2009Cardiac Pacemakers Inc.Syncope logbook and method of using sameUS7670295Jan 29, 2003Mar 2, 2010Vivometrics, Inc.Systems and methods for ambulatory monitoring of physiological signsUS7702383May 4, 2006Apr 20, 2010Cardiac Pacemakers, Inc.Methodology for automated signal morphology analysis in implantable electrotherapy and diagnostic systemsUS7727161Apr 24, 2007Jun 1, 2010Vivometrics, Inc.Systems and methods for monitoring coughUS7751892May 6, 2004Jul 6, 2010Cardiac Pacemakers, Inc.Implantable medical device programming apparatus having a graphical user interfaceUS7762953Oct 31, 2007Jul 27, 2010Adidas AgSystems and methods for non-invasive physiological monitoring of non-human animalsUS7809433Aug 9, 2005Oct 5, 2010Adidas AgMethod and system for limiting interference in electroencephalographic signalsUS7844322Apr 24, 2006Nov 30, 2010Cardiac Pacemakers, Inc.System and method for correlation of patient health information and implant device dataUS7878979May 19, 2006Feb 1, 2011Adidas AgMethods and systems for determining dynamic hyperinflationUS7907996Apr 23, 2007Mar 15, 2011Cardionet, Inc.System and method for processing and presenting arrhythmia information to facilitate heart arrhythmia identification and treatmentUS7931600Aug 21, 2009Apr 26, 2011Cardiac Pacemakers, Inc.Apparatus and method for detecting lung sounds using an implanted deviceUS7941208 *Mar 7, 2007May 10, 2011Cardiac Pacemakers, Inc.Therapy delivery for identified tachyarrhythmia episode typesUS7962203Dec 29, 2003Jun 14, 2011Cardiac Pacemakers, Inc.Arrhythmia displayUS8032208Jul 8, 2008Oct 4, 2011Cardiac Pacemakers, Inc.System and method for displaying a histogram of cardiac eventsUS8033996Jul 24, 2006Oct 11, 2011Adidas AgComputer interfaces including physiologically guided avatarsUS8034001Sep 21, 2005Oct 11, 2011Yoav GalSensors for inductive plethysmographic monitoring applications and apparel using sameUS8046060Nov 14, 2005Oct 25, 2011Cardiac Pacemakers, Inc.Differentiating arrhythmic events having different originsUS8131351Nov 8, 2010Mar 6, 2012Cardiac Pacemakers, Inc.System and method for correlation of patient health information and implant device dataUS8137270Nov 18, 2004Mar 20, 2012Adidas AgMethod and system for processing data from ambulatory physiological monitoringUS8177724Jun 5, 2007May 15, 2012Adidas AgSystem and method for snore detection and confirmationUS8244339 *Aug 9, 2010Aug 14, 2012Medtronic, Inc.Wireless cardiac pulsatility sensingUS8317719Apr 26, 2011Nov 27, 2012Cardiac Pacemakers, Inc.Apparatus and method for detecting lung sounds using an implanted deviceUS8321366Jul 7, 2011Nov 27, 2012Cardiac Pacemakers, Inc.Systems and methods for automatically resolving interaction between programmable parametersUS8323204Mar 13, 2009Dec 4, 2012Cardiac Pacemakers, Inc.Medical event logbook system and methodUS8437852Feb 27, 2006May 7, 2013Cardiac Pacemakers, Inc.Change log for implantable medical deviceUS8463369Jun 13, 2011Jun 11, 2013Cardiac Pacemakers, Inc.Arrhythmia displayUS8475387Jun 18, 2007Jul 2, 2013Adidas AgAutomatic and ambulatory monitoring of congestive heart failure patientsUS8483813Jun 30, 2010Jul 9, 2013Medtronic, Inc.System and method for establishing episode profiles of detected tachycardia episodesUS8548576Mar 2, 2012Oct 1, 2013Cardiac Pacemakers, Inc.System and method for correlation of patient health information and implant device dataUS8628480Dec 22, 2010Jan 14, 2014Adidas AgMethods and systems for monitoring respiratory dataUS8634917Jul 29, 2008Jan 21, 2014Cardiac Pacemakers, Inc.Method and system for identifying and displaying groups of cardiac arrhythmic episodesUS8660638Nov 11, 2009Feb 25, 2014Cardiac Pacemakers, Inc.Syncope logbook and method of using sameUS8660702Sep 29, 2010Feb 25, 2014Online Energy Manager LlcCentral cooling and circulation energy management control systemUS8688204May 10, 2011Apr 1, 2014Cardiac Pacemakers, Inc.Therapy delivery for identified tachyarrhythmia episode typesUS8700138Aug 21, 2009Apr 15, 2014Cardiac Pacemakers, Inc.Methods and devices for determination of arrhythmia rate zone thresholdsUS8725242Sep 28, 2011May 13, 2014Cardiac Pacemakers, Inc.System and method for displaying a histogram of cardiac eventsUS8738560Nov 6, 2012May 27, 2014Cardiac Pacemakers, Inc.Systems and methods for automatically resolving interaction between programmable parametersUS8762733Jan 25, 2007Jun 24, 2014Adidas AgSystem and method for identity confirmation using physiologic biometrics to determine a physiologic fingerprintUS8777868Sep 23, 2011Jul 15, 2014Adidas AgSensors for inductive plethysmographic monitoring applications and apparel using sameUS8790255Sep 22, 2011Jul 29, 2014Adidas AgComputer interfaces including physiologically guided avatarsUS8790272May 24, 2007Jul 29, 2014Adidas AgMethod and system for extracting cardiac parameters from plethysmographic signalsUS8838220Aug 12, 2013Sep 16, 2014Cardiac Pacemakers, Inc.System and method for correlation of patient health information and implant device dataUS8874196Mar 3, 2010Oct 28, 2014Cardiac Pacemakers, Inc.Methodology for automated signal morphology analysis in implantable electrotherapy and diagnostic systemsUS8945019Mar 11, 2011Feb 3, 2015Braemar Manufacturing, LlcSystem and method for processing and presenting arrhythmia information to facilitate heart arrhythmia identification and treatmentUS9061155Apr 5, 2011Jun 23, 2015Medtronic, Inc.Implanted device data to guide ablation therapyUS9095715Apr 5, 2011Aug 4, 2015Medtronic, Inc.Implanted device data to guide ablation therapyUS9155904Sep 9, 2014Oct 13, 2015Cardiac Pacemakers, Inc.System and method for correlation of patient health information and implant device dataUS9277871Jan 27, 2012Mar 8, 2016Adidas AgMethod and system for processing data from ambulatory physiological monitoringUS9375165Jul 7, 2014Jun 28, 2016Adidas AgSensors for inductive plethysmographic monitoring applications and apparel using the sameUS9462975Dec 17, 2010Oct 11, 2016Adidas AgSystems and methods for ambulatory monitoring of physiological signsUS9492084Aug 10, 2006Nov 15, 2016Adidas AgSystems and methods for monitoring subjects in potential physiological distressUS9504410Oct 24, 2006Nov 29, 2016Adidas AgBand-like garment for physiological monitoringUS9533166Oct 9, 2015Jan 3, 2017Cardiac Pacemakers, Inc.System and method for correlation of patient health information and device dataUS20020042636 *Nov 13, 2001Apr 11, 2002Cardiac Pacemakers, Inc.Change log for implantable medical deviceUS20020151809 *Apr 8, 2002Oct 17, 2002Cardiac Pacemakers, Inc.Method and system for identifying and displaying groups of cardiac arrhythmic episodesUS20030050566 *Sep 7, 2001Mar 13, 2003Medtronic, Inc.Arrhythmia notificationUS20030114891 *Jan 27, 2003Jun 19, 2003Cardiac Pacemakers, Inc.Event marker alignment by inclusion of event marker transmission latency in the real-time data streamUS20030135127 *Jan 29, 2003Jul 17, 2003Vivometrics, Inc.Systems and methods for ambulatory monitoring of physiological signsUS20040249299 *Jun 6, 2003Dec 9, 2004Cobb Jeffrey LaneMethods and systems for analysis of physiological signalsUS20050107840 *Dec 22, 2004May 19, 2005Cardiac Pacemakers, Inc.Method and system for identifying and displaying groups of cardiac arrhythmic episodesUS20050113706 *Jan 16, 2004May 26, 2005Prystowsky Eric N.System and method for processing and presenting arrhythmia information to facilitate heart arrhythmia identification and treatmentUS20050137627 *Dec 22, 2003Jun 23, 2005Koshiol Allan T.Synchronizing continuous signals and discrete events for an implantable medical deviceUS20050187588 *Apr 27, 2005Aug 25, 2005Cardiac Pacemakers, Inc.System and method for displaying cardiac eventsUS20050240087 *Nov 18, 2004Oct 27, 2005Vivometrics Inc.Method and system for processing data from ambulatory physiological monitoringUS20060036183 *Jul 8, 2004Feb 16, 2006Vivometrics Inc.Method and system for extracting cardiac parameters from plethysmographic signalsUS20060058850 *Oct 7, 2003Mar 16, 2006Kramer Karen MMethod and apparatus for managing data from multiple sensing channelsUS20060122528 *Sep 21, 2005Jun 8, 2006Yoav GalSensors for inductive plethysmographic monitoring applications and apparel using sameUS20060178591 *Nov 21, 2005Aug 10, 2006Hempfling Ralf HMethods and systems for real time breath rate determination with limited processor resourcesUS20060253042 *May 4, 2005Nov 9, 2006Stahmann Jeffrey ESyncope logbook and method of using sameUS20070038382 *Aug 9, 2005Feb 15, 2007Barry KeenanMethod and system for limiting interference in electroencephalographic signalsUS20070049843 *May 19, 2006Mar 1, 2007Derchak P AMethods and systems for determining dynamic hyperinflationUS20070112276 *Nov 14, 2005May 17, 2007Simms Howard D JrDifferentiating arrhythmic events having different originsUS20070191723 *Apr 23, 2007Aug 16, 2007Cardionet, Inc.System and method for processing and presenting arrhythmia information to facilitate heart arrhythmia identification and treatmentUS20070209669 *Mar 6, 2007Sep 13, 2007Derchak P AlexanderMonitoring and quantification of smoking behaviorsUS20070260149 *May 4, 2006Nov 8, 2007Matthias WoellensteinMethodology for automated signal morphology analysis in implantable electrotherapy and diagnostic systemsUS20070287896 *Jun 5, 2007Dec 13, 2007Derchak P ASystem and method for snore detection and confirmationUS20080027341 *May 24, 2007Jan 31, 2008Marvin SacknerMethod and system for extracting cardiac parameters from plethysmographic signalsUS20080255468 *Oct 31, 2007Oct 16, 2008Derchak P AlexanderSystems and methods for non-invasive physiological monitoring of non-human animalsUS20080269827 *Jul 8, 2008Oct 30, 2008Cardiac Pacemakers, Inc.System and method for displaying a histogram of cardiac eventsUS20090036942 *Jul 29, 2008Feb 5, 2009Cardiac Pacemakers, Inc.Method and system for identifying and displaying groups of cardiac arrhythmic episodesUS20100010378 *Aug 21, 2009Jan 14, 2010Hatlestad John DApparatus and Method for Detecting Lung Sounds Using an Implanted DeviceUS20100056929 *Nov 11, 2009Mar 4, 2010Stahmann Jeffrey ESyncope Logbook and Method of Using SameUS20100160806 *Mar 3, 2010Jun 24, 2010Matthias Daniel WoellensteinMethodology for automated signal morphology analysis in implantable electrotherapy and diagnostic systemsUS20100268103 *Apr 16, 2009Oct 21, 2010Cardionet, Inc.Cardiac Arrhythmia ReportUS20110166468 *Mar 11, 2011Jul 7, 2011Cardionet, Inc.System and method for processing and presenting arrhythmia information to facilitate heart arrhythmia identification and treatmentUS20110201955 *Apr 26, 2011Aug 18, 2011John HatlestadApparatus and Method for Detecting Lung Sounds Using an Implanted DeviceWO2004107962A2 *Jun 4, 2004Dec 16, 2004Vivometrics, Inc.Methods and systems for analysis of physiological signalsWO2004107962A3 *Jun 4, 2004Dec 28, 2006Jeffrey Lane CobbMethods and systems for analysis of physiological signals* Cited by examinerClassifications U.S. Classification600/523International ClassificationA61N1/372Cooperative ClassificationA61N1/37247European ClassificationA61N1/372D4ULegal EventsDateCodeEventDescriptionNov 18, 1999ASAssignmentOwner name: CARDIAC PACEMAKERS, INC., MINNESOTAFree format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:CONLEY, VICKIE L.;KOSHIOL, ALLAN T.;REEL/FRAME:010410/0824;SIGNING DATES FROM 19991010 TO 19991020Jul 1, 2003CCCertificate of correctionMar 10, 2006FPAYFee paymentYear of fee payment: 4Jan 29, 2010FPAYFee paymentYear of fee payment: 8Feb 12, 2014FPAYFee paymentYear of fee payment: 12RotateOriginal ImageGoogle Home - Sitemap - USPTO Bulk Downloads - Privacy Policy - Terms of Service - About Google Patents - Send FeedbackData provided by IFI CLAIMS Patent Services