SYSTEM, METHOD AND APPARATUS FOR REHABILITATION WITH TRACKING

• US 20180228430A1
• Filed: 02/11/2018
• Published: 08/16/2018
• Est. Priority Date: 02/10/2017
• Status: Abandoned Application

• Current Assignee: MindMaze Holding SA
• Original Assignee: MindMaze Holding SA
• Inventors: PEREZ MARCOS, Daniel, DUC, Cyntia, GARIPELLI, Gangadhar, TADI, Tej, SEPPEY, Solange
• Application Number:
  US15/893,637
• Publication Number:
  US 20180228430A1
• Time in Patent Office: Days
• CPC Class Codes: A61B 2505/09 Rehabilitation or training
• CPC Class Codes: A61B 5/0077 Devices for viewing the surface of the body, e.g. camera, magnifying lens
• CPC Class Codes: A61B 5/1114 Tracking parts of the body
• CPC Class Codes: A61B 5/1125 Grasping motions of hands
• CPC Class Codes: A61B 5/1128 using image analysis A61B5/1127 takes precedence
• CPC Class Codes: A61B 5/225 of the fingers, e.g. by monitoring hand-grip force
• CPC Class Codes: A61B 5/375 using biofeedback
• CPC Class Codes: A61B 5/4824 Touch or pain perception evaluation A61B5/4821 takes precedence
• CPC Class Codes: A61B 5/4848 Monitoring or testing the effects of treatment, e.g. of medication
• CPC Class Codes: A61B 5/4884 inducing physiological or psychological stress, e.g. applications for stress testing
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: G06F 3/011 Arrangements for interaction with the human body, e.g. for user immersion in virtual reality blind teaching G09B21/00
• CPC Class Codes: G06F 3/015 Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
• CPC Class Codes: G06F 3/04842 Selection of displayed objects or displayed text elements G06F3/0482 takes precedence
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 40/63 for local operation

Abstract

A system, method and apparatus for rehabilitation with computational feedback, based upon tracking the movement of the user.

Claims

1. A method with a computationally directed set of movements, the set of movements being directed by a computational system that comprises providing visual direction to the patient and tracking the movements of the patient, the computational system comprising a display, at least one tracking sensor and a plurality of machine instructions for controlling the display to provide the visual direction and for receiving sensor data from the tracking sensor to track the movements of the patient, the method comprising:

displaying a virtual object to the patient;

indicating a movement to be performed with the virtual object;

tracking said movement using the computational system, the tracking comprising obtaining tracking data with a depth camera and an RGB camera of the computational system, obtaining tracking data with a plurality of inertial sensors attached to the patient and an inertial sensor receiver of the computational system, or both;

analyzing the tracking data using a tracking engine to identify movements of the patient and generate patient movement data; and

analyzing patient movement data using a data analysis layer to generate a display adjustment parameter and indicator adjustment parameter; and

adjusting said displaying according to the display adjustment parameter and said indicating according to the indicator adjustment parameter;

wherein said displaying, indicating and tracking apply a higher degree of therapeutic intensity as compared to a standard of care rehabilitative measure, wherein said higher degree of therapeutic intensity comprises increasing an amount of time the patient spends during each therapeutic session, increasing a number of exercises that the patient performs during said session within a specific time frame, or both.

3. The method of claim 1, wherein the computational system comprises a MindMotion™

PRO system.

4. The method of claim 1, wherein said standard of care rehabilitative measure comprises GRASP.

5. The method of claim 4, wherein said standard of care rehabilitative measure comprises at least one of reduced joint pain and improved motor function.

6. The method of claim 5, further comprising providing an improvement from baseline in upper extremity motor function measured by the Fugl-Meyer Assessment for Upper Extremity (FMA-UE) and/or its subscales as compared to said standard of care rehabilitative measure.

7. The method of claim 6, further comprising providing an improvement from baseline in upper extremity motor ability measured by the streamlined Wolf Motor Function Test (sWMFT) score as compared to said standard of care rehabilitative measure.

8. The method of claim 7, further comprising providing an improvement from baseline in self-care ability measured by the Barthel index (BI) as compared to said standard of care rehabilitative measure.

9. The method of claim 8, further comprising providing an improvement from baseline in functional independence measured by the Modified Ranking Scale (MRS) and/or associated disability-adjusted life year (DALY) as compared to said standard of care rehabilitative measure.

10. The method of claim 9, further comprising providing an improvement from baseline in the general health status as measured by the Stroke Impact scale (SIS) as compared to said standard of care rehabilitative measure.

11. The method of claim 10, further comprising providing an improvement from baseline in the severity of stroke symptoms as measured by the NIH stroke scale (NIHSS) as compared to said standard of care rehabilitative measure.

12. The method of claim 11, further comprising providing an improvement from baseline in arm function in daily activities as measured by the Motor Activity Log (MAL) as compared to said standard of care rehabilitative measure.

13. The method of claim 12, further comprising providing an improvement in motivation measured by the Intrinsic Motivation Index (IMI) as compared to said standard of care rehabilitative measure.

14. The method of claim 13, further comprising providing reduced therapist time spent administrating rehabilitation exercises as compared to said standard of care rehabilitative measure.

15. The method of claim 14, further comprising providing an improvement from baseline in upper extremity muscle strength measured by the Medical research Council Scale (MRC) as compared to said standard of care rehabilitative measure.

16. The method of claim 15, wherein said muscle strength comprises one or more of strength for shoulder elevation, elbow flexion/extension, forearm pronation/supination and wrist extension/flexion.

18. The method of claim 1, further comprising providing an increased rehabilitation dose as measured by the duration of the rehabilitation session without planned rest periods as compared to said standard of care rehabilitative measure.

19. The method of claim 1, comprising performing the method during an acute period following a neurological trauma.

20. The method of claim 19, wherein said neurological trauma comprises at least one of stroke and head injury.

21. The method of claim 1, wherein the virtual object is displayed to the patient in an AR (augmented reality) or VR (virtual reality) environment.

22. The method of claim 21, further comprising determining a location of the virtual object in the AR or VR environment to avoid trunk involvement in a movement by the patient.

23. The method of claim 22, further comprising performing a calibration to determine a maximum reach of the patient and performing said determining said location according to a maximum of a range of 80-95% distance of said maximum reach of the patient.

24. The method of claim 23, wherein said maximum distance is 95% of said maximum reach of the patient.

25. The method of claim 23, further comprising measuring an extent of trunk involvement according to movement of shoulders of the patient.

26. The method of claim 1, further comprising measuring EEG signals of the patient during said tracking said movement by the patient.

27. The method of claim 26, further comprising providing feedback to the patient according to said EEG signals.

28. The method of claim 1, further comprising providing feedback to the patient through a visual display of a mirror avatar.

30. The method of claim 1, further comprising:

assessing an ability of the patient to perform a movement with a physical object;

displaying a virtual object to the patient according to said assessing;

indicating a movement to be performed by the patient with the virtual object, determined according to said assessing;

tracking said movement according to said tracking data; and

adjusting said displaying and said indicating according to said tracking.

32. The method of claim 30, wherein the virtual object is displayed to the patient in an AR (augmented reality) or VR (virtual reality) environment.

36. The method of claim 30, further comprising:

assigning a visual indicator to the virtual object, the visual indicator communicating to the user to correct a trajectory.

2. (canceled)

17. (canceled)

29. (canceled)

31. (canceled)

33. (canceled)

34. (canceled)

35. (canceled)

37. (canceled)