MOTION-BASED BEHAVIOR IDENTIFICATION FOR CONTROLLING THERAPY

• US 20140371544A1
• Filed: 12/12/2013
• Published: 12/18/2014
• Est. Priority Date: 06/14/2013
• Status: Abandoned Application

• Current Assignee: Medtronic Incorporated (Medtronic Plc)
• Original Assignee: Medtronic Incorporated (Medtronic Plc)
• Inventors: Wu, Jianping, Nelson, Dwight E., Lai, Chih, Wei, Xuan, Christenson, Steven R.
• Application Number:
  US14/104,078
• Publication Number:
  US 20140371544A1
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: A61B 2576/00 Medical imaging apparatus involving image processing or analysis A61B1/00009, A61B6/52 and A61B8/52 take precedence; image processing per se G06T; details of algorithms for analysing medical images G06T7/0012
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0036 including treatment, e.g., using an implantable medical device, ablating, ventilating
• CPC Class Codes: A61B 5/0077 Devices for viewing the surface of the body, e.g. camera, magnifying lens
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/08 Detecting, measuring or recording devices for evaluating the respiratory organs A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/1114 Tracking parts of the body
• CPC Class Codes: A61B 5/1121 Determining geometric values, e.g. centre of rotation or angular range of movement
• CPC Class Codes: A61B 5/1124 Determining motor skills
• CPC Class Codes: A61B 5/1128 using image analysis A61B5/1127 takes precedence
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/4082 Diagnosing or monitoring movement diseases, e.g. Parkinson, Huntington or Tourette
• CPC Class Codes: A61B 5/4803 Speech analysis specially adapted for diagnostic purposes
• CPC Class Codes: A61B 5/4809 Sleep detection, i.e. determining whether a subject is asleep or not
• CPC Class Codes: A61B 5/4839 combined with drug delivery
• CPC Class Codes: A61B 5/4848 Monitoring or testing the effects of treatment, e.g. of medication
• CPC Class Codes: A61B 5/7246 using correlation, e.g. template matching or determination of similarity
• CPC Class Codes: A61B 5/7257 : using Fourier transforms
• CPC Class Codes: A61B 5/7264 : Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61B 5/7282 : Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 5/743 : Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: A61N 1/0534 : Electrodes for deep brain stimulation
• CPC Class Codes: A61N 1/36067 : Movement disorders, e.g. tremor or Parkinson disease stimulating motor muscle A61N1/36003
• CPC Class Codes: A61N 1/36135 : using physiological parameters
• CPC Class Codes: G06T 2207/10016 : Video; Image sequence
• CPC Class Codes: G06T 2207/30196 : Human being; Person
• CPC Class Codes: G06T 7/254 : involving subtraction of images
• CPC Class Codes: G06T 7/262 : using transform domain methods, e.g. Fourier domain methods
• CPC Class Codes: G16H 30/40 : for processing medical images, e.g. editing
• CPC Class Codes: G16H 40/67 : for remote operation
• CPC Class Codes: G16H 50/20 : for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

Devices, systems, and techniques for analyzing video information to objectively identify patient behavior are disclosed. A system may analyze obtained video information of patient motion during a period of time to track one or more anatomical regions through a plurality of frames of the video information and calculate one or more movement parameters of the one or more anatomical regions. The system may also compare the one or more movement parameters to respective criteria for each of a plurality of predetermined patient behaviors and identify the patient behaviors that occurred during the period of time. In some examples, a device may control therapy delivery according to the identified patient behaviors and/or sensed parameters previously calibrated based on the identified patient behaviors.

Claims

1. :

A method comprising;

receiving, from a computing device, an indication of a patient behavior for a period of time, wherein the patient behavior is determined by the computing device from video information captured during the period of time;

determining, based on the indication of the patient behavior and by one or more processors, a therapy to be delivered to the patient; and

outputting the determination for at least one of delivery of the therapy to the patient and display to the user.

2. :

The method of claim 1, wherein determining the therapy to be delivered comprises selecting, by the one or more processors, one or more therapy parameter values that at least partially define the therapy

3. :

The method of claim 1, wherein the period of time is a first period of time and the therapy is a first therapy, and wherein the method further comprises;

receiving an indication of user input identifying insufficient therapy;

requesting capture of supplemental video information of patient motion during a second period of time different than the first period;

receiving an indication of patient behavior during the second period of time; and

determining, based on the indication of patient behavior during the second period of time, a second therapy different than the first therapy.

4. :

The method of claim 1, wherein determining the therapy comprises selecting one of a plurality of predetermined therapies, each of the plurality of therapies corresponding to at least one of a plurality of patient behaviors associated with a respective one or more movement parameters generated from the video information, and wherein the patient behavior is one of the plurality of patient behaviors.

5. :

The method of claim 1, further comprising;

calculating, from the video information captured during the period of time, one or more movement parameters of the patient;

identifying, based on the one or more movement parameters, each of one of a plurality of patient behaviors that occurred during the period of time;

obtaining values of a patient parameter sensed during the period of time; and

correlating the values of the patient parameter to each of the one of the plurality of patient behaviors that occurred during the period of time.

6. :

The method of claim 5, further comprising;

subsequent to the correlation, obtaining a sensed patient parameter value; and

identifying one or more of the plurality of patient behaviors associated with the sensed patient parameter value, and wherein determining the therapy comprises, determining, based on the identification, the therapy to be delivered to the patient.

7. :

The method of claim 5, wherein the patient parameter is a first patient parameter, and wherein the method further comprises;

obtaining values of a second patient parameter sensed during the period of time;

correlating the values of the second patient parameter to each of the one of the plurality of patient behaviors that occurred during the period of time;

determining that the values of both the first patient parameter and the second patient parameter are associated with the same patient behavior; and

identifying the same patient behavior as the one or more of the plurality of patient behaviors.

8. :

The method of claim 5, wherein the patient parameter comprises one of a local field potential, an electroencephalogram, an electrogram, an electromyogram, an acceleration of the patient, a relative motion between two locations of the patient, blood pressure, heart rate, patient speech pattern, patient breathing pattern, sleep indication, or chemical.

9. :

The method of claim 1, further comprising;

obtaining, by the computing device, one or more values of a patient parameter sensed during the period of time; and

determining, based on video information captured during the period of time and the one or more values of the patient parameter, the patient behavior for the period of time.

10. :

The method of claim 1, further comprising delivering, by an implantable medical device, the therapy to the patient.

11. :

The method of claim 1, wherein the therapy is one of electrical stimulation therapy, drug delivery therapy, or oral medication therapy.

12. :

The method of claim 1, wherein the patient behavior is a movement disorder.

13. :

The method of claim 1, wherein the one or more processors are housed within one of a networked server, a medical device programmer, and an implantable medical device.

14. :

A system comprising;

one or more processors configured to;

receive, from a computing device, an indication of a patient behavior for a period of time, wherein the patient behavior is determined by the computing device from video information captured during the period of time;

determine, based on the indication of the patient behavior, a therapy to be delivered to the patient; and

output the determination for at least one of delivery of the therapy to the patient and display to the user.

15. :

The system of claim 14, wherein the one or more processors are configured to determine the therapy by selecting one or more therapy parameter values that at least partially define the therapy.

16. :

The system of claim 14, wherein the period of time is a first period of time and the therapy is a first therapy, and wherein the one or more processors are configured to;

receive an indication of user input identifying insufficient therapy;

request capture of supplemental video information of patient motion during a second period of time different than the first period;

receive an indication of patient behavior during the second period of time; and

determine, based on the indication of patient behavior during the second period of time, a second therapy different than the first therapy.

17. :

The system of claim 14, wherein the one or more processors are configured to determine the therapy by selecting one of a plurality of predetermined therapies, each of the plurality of therapies corresponding to at least one of a plurality of patient behaviors associated with a respective one or more movement parameters generated from the video information, and wherein the patient behavior is one of the plurality of patient behaviors.

18. :

The system of claim 14, wherein the one or more processors are configured to;

calculate, from the video information captured during the period of time, one or more movement parameters of the patient;

identify, based on the one or more movement parameters, each of one of a plurality of patient behaviors that occurred during the period of time;

obtain values of a patient parameter sensed during the period of time; and

correlate the values of the patient parameter to each of the one of the plurality of patient behaviors that occurred during the period of time.

19. :

The system of claim 18, wherein the one or more processors are configured to;

subsequent to the correlation, obtain a sensed patient parameter value; and

identify one or more of the plurality of patient behaviors associated with the sensed patient parameter value; and

determine, based on the identification, the therapy to be delivered to the patient.

20. :

The system of claim 18, wherein the patient parameter is a first patient parameter, and wherein the one or more processors are further configured to;

obtain values of a second patient parameter sensed during the period of time;

correlate the values of the second patient parameter to each of the one of the plurality of patient behaviors that occurred during the period of time;

determine that the values of both the first patient parameter and the second patient parameter are associated with the same patient behavior; and

identify the same patient behavior as the one or more of the plurality of patient behaviors.

21. :

The system of claim 18, wherein the patient parameter comprises one of a local field potential, an electroencephalogram, an electrogram, electromyogram, an acceleration of the patient, a relative motion between two locations of the patient, blood pressure, heart rate, patient speech pattern, patient breathing pattern, sleep indication, or chemical.

23. :

The system of claim 14, wherein the therapy is one of electrical stimulation therapy, drug delivery therapy, or oral medication therapy.

24. :

The system of claim 14, wherein the patient behavior is a movement disorder.

25. :

The system of claim 14, further comprising one of a networked server, a medical device programmer, or an implantable medical device that houses the one or more processors.

29. :

The system of claim 14, wherein the one or more processors are configured to;

obtain one or more values of a patient parameter sensed during the period of time; and

determine, based on video information captured during the period of time and the one or more values of the patient parameter, the patient behavior for the period of time.

30. :

The system of claim 14, further comprising an implantable medical device configured to deliver the therapy to the patient.

22. (canceled)

22-1. (canceled)

26. :

A computer-readable storage medium comprising instructions that cause one or more processors to;

receive, from a computing device, an indication of a patient behavior for a period of time, wherein the patient behavior is determined by the computing device from video information captured during the period of time;

determine, based on the indication of the patient behavior, a therapy to be delivered to the patient; and

output the determination for at least one of delivery of the therapy to the patient and display to the user.

27. :

The computer-readable storage medium of claim 26, wherein the instructions that cause the one or more processors to determine the therapy comprises instructions that cause the one or more processors to select one of a plurality of predetermined therapies, each of the plurality of therapies corresponding to at least one of a plurality of patient behaviors associated with a respective one or more movement parameters generated from the video information, and wherein the patient behavior is one of the plurality of patient behaviors.

28. :

The computer-readable storage medium of claim 26, further comprising instructions that cause the one or more processors to;

calculate, from the video information captured during the period of time, one or more movement parameters of the patient;

identify, based on the one or more movement parameters, each of one of a plurality of patient behaviors that occurred during the period of time;

obtain values of a patient parameter sensed during the period of time;

correlate the values of the patient parameter to each of the one of the plurality of patient behaviors that occurred during the period of time;

subsequent to the correlation, obtain a sensed patient parameter value; and

identify one or more of the plurality of patient behaviors associated with the sensed patient parameter value, and wherein the instructions that cause the one or more processors to determine the therapy comprises instructions that cause the one or more processors to determine, based on the identification, the therapy to be delivered to the patient.