MOTION ANALYSIS SYSTEMSAND METHODS OF USE THEREOF

• US 20160262685A1
• Filed: 11/10/2014
• Published: 09/15/2016
• Est. Priority Date: 11/12/2013
• Status: Abandoned Application

• Current Assignee: Highland Instruments, Inc.,
• Original Assignee: Highland Instruments, Inc.,
• Inventors: Elkin-Frankston, Seth, Wagner, Timothy Andrew, Dipietro, Laura, Edelman, William
• Application Number:
  US15/030,451
• Publication Number:
  US 20160262685A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• 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 3/113 for determining or recording eye movement
• CPC Class Codes: A61B 5/0077 Devices for viewing the surface of the body, e.g. camera, magnifying lens
• CPC Class Codes: A61B 5/1101 Detecting tremor
• CPC Class Codes: A61B 5/1104 induced by stimuli or drugs; A61B5/1102 takes precedence; investigating medicinal preparations G01N33/15
• CPC Class Codes: A61B 5/1121 Determining geometric values, e.g. centre of rotation or angular range of movement
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A61B 5/1128 using image analysis A61B5/1127 takes precedence
• CPC Class Codes: A61B 5/4082 Diagnosing or monitoring movement diseases, e.g. Parkinson, Huntington or Tourette
• CPC Class Codes: A61B 5/4528 Joints A61B5/4533, A61B5/4538 take precedence
• CPC Class Codes: A61B 5/4803 Speech analysis specially adapted for diagnostic purposes
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing

Abstract

The invention generally relates to motion analysis systems and methods of use thereof. In certain aspects, the system includes an image capture device, at least one accelerometer, and a central processing unit (CPU) with storage coupled thereto for storing instructions that when executed by the CPU cause the CPU to receive a first set of motion data from the image capture device related to at least one joint of a subject while the subject is performing a task and receive a second set of motion data from the accelerometer related to the at least one joint of the subject while the subject is performing the task. The CPU also calculates kinematic and/or kinetic information about the at least one joint of a subject from a combination of the first and second sets of motion data, and outputs the kinematic and/or kinetic information for purposes of assessing a movement disorder.

Claims

1. A motion analysis system comprising:

an image capture device;

at least one external body motion sensor; and

a central processing unit (CPU) with storage coupled to the CPU for storing instructions that when executed by the CPU cause the CPU to;

receive a first set of motion data from the image capture device related to at least one joint of a subject while the subject is performing a task;

receive a second set of motion data from the external body motion sensor related to the at least one joint of the subject while the subject is performing the task;

calculate kinematic and/or kinetic information about the at least one joint of a subject from a combination of the first and second sets of motion data; and

output the kinematic and/or kinetic information for purposes of assessing a movement disorder.

2. The motion analysis system according to claim 1, further comprising a force plate.

3. The motion analysis system according to claim 2, wherein the CPU is further caused to:

receive balance data from the force plate;

calculate kinematic and/or kinetic information about the at least one joint of a subject from a combination of the first and second sets of motion data and the balance data; and

output the kinematic and/or kinetic information for purposes of assessing a movement disorder.

4. The motion analysis system according to claim 2, further comprising a device for eye tracking.

5. The motion analysis system according to claim 4, further comprising a device for voice tracking.

6. The motion analysis system according to claim 1, wherein the task is selected from the group consisting of:

discrete flexion of a limb;

discrete extension of a limb;

continuous flexion of a limb;

continuous extension of a limb;

flexion of a hand;

extension of a hand;

walking; and

any combination thereof.

7. The motion analysis system according to claim 1, wherein the movement disorder is selected from the group consisting of:

Parkinson'"'"'s disease;

Parkinsonism;

Dystonia;

Cerebral Palsy;

Bradykinesia;

Chorea;

Huntington'"'"'s Disease;

Ataxia;

Tremor;

Essential Tremor;

Myoclonus;

tics;

Tourette Syndrome;

Restless Leg Syndrome; and

Stiff Person Syndrome.

8. The motion analysis system according to claim 1, wherein the external body motion sensor is an accelerometer.

9. The motion analysis system according to claim 8, wherein the external body motion sensor further comprises a gyroscope and the second set of motion data further comprises gyroscopic data.

10. The motion analysis suite according to claim 1, wherein the first and second sets of motion data relate to a plurality of joints.

11. The motion analysis suite according to claim 1, wherein the CPU is further caused to render received data from the image capture device as a skeletal joint map.

12. The motion analysis suite according to claim 1, wherein software of the image capture device renders received data as a skeletal joint map and then sends the skeletal joint map to the CPU.

13. A method for assessing a subject for a movement disorder, the method comprising:

receiving a first set of motion data from an image capture device related to at least one joint of a subject while the subject is performing a task;

receiving a second set of motion data from an external body motion sensor related to the at least one joint of the subject while the subject is performing the task;

calculating, using a computer, kinematic and/or kinetic information about the at least one joint of a subject from a combination of the first and second sets of motion data; and

assessing the subject for a movement disorder based on the kinematic and/or kinetic information.

14. The method according to claim 13, wherein the movement disorder is selected from the group consisting of:

Parkinson'"'"'s disease;

Parkinsonism;

Dystonia;

Cerebral Palsy;

Bradykinesia;

Chorea;

Huntington'"'"'s Disease;

Ataxia;

Tremor;

Essential Tremor;

Myoclonus;

tics;

Tourette Syndrome;

Restless Leg Syndrome; and

Stiff Person Syndrome.

15. The method according to claim 13, wherein the task is selected from the group consisting of:

discrete flexion of a limb;

discrete extension of a limb;

continuous flexion of a limb;

continuous extension of a limb;

flexion of a hand;

extension of a hand;

walking; and

any combination thereof.

16. The method according to claim 13, further comprising:

receiving balance data of the subject from a force plate;

calculating, using a computer, kinematic and/or kinetic information about the at least one joint of a subject from a combination of the first and second sets of motion data and the balance data; and

assessing the subject for a movement disorder based on the kinematic and/or kinetic information.

17. The method according to claim 16, further comprising receiving eye movement data.

18. The method according to claim 17, further comprising receiving voice data.

19. The method according to claim 18, further comprising:

calculating, using a computer, kinematic and/or kinetic information about the at least one joint of a subject from a combination of the first and second sets of motion data, the balance data, the eye movement data, and the voice data; and

assessing the subject for a movement disorder based on the kinematic and/or kinetic information.

20. The method according to claim 13, wherein the second set of motion data comprises gyroscopic data.

21. The method according to claim 13, wherein the kinematic and/or kinetic information comprises information about velocity of the joint.

22. The method according to claim 13, wherein prior to receiving the first set of motion data, the method further comprises providing stimulation of neural tissue of the subject.

23. The method according to claim 13, wherein the method is repeated after the subject has received stimulation of their neural tissue.

24-30. -30. (canceled)