Method for determining rehab protocol and behavior shaping target for rehabilitation of neuromuscular disorders

• US 10,271,768 B1
• Filed: 12/19/2011
• Issued: 04/30/2019
• Est. Priority Date: 12/23/2010
• Status: Active Grant

• Current Assignee: JogoHealth, Inc.
• Original Assignee: JogoHealth, Inc.
• Inventors: Murali, Sanjai
• Primary Examiner(s): Flory, Christopher A
• Assistant Examiner(s): Jian, Shirley X
• Application Number:
  US13/329,827
• Time in Patent Office: 2,689 Days
• CPC Class Codes: A61B 2505/09 Rehabilitation or training
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/1122 of movement trajectories
• CPC Class Codes: A61B 5/1124 Determining motor skills
• 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 5/4836 Diagnosis combined with treatment in closed-loop systems or methods A61B5/0036 takes precedence
• CPC Class Codes: A61H 1/00 Apparatus for passive exercising A61H5/00 takes precedence; Vibrating apparatus; Chiropractic devices, e.g. body impacting devices, external devices for briefly extending or aligning unbroken bones
• CPC Class Codes: A61H 1/02 Stretching or bending or torsioning apparatus for exercising
• CPC Class Codes: A61H 2201/0165 Damping, vibration related features
• CPC Class Codes: A61H 2201/5012 using the internet
• CPC Class Codes: A61H 2201/5043 Displays
• CPC Class Codes: A61H 2201/5058 Sensors or detectors
• CPC Class Codes: A61H 2201/5061 Force sensors
• CPC Class Codes: A61H 2201/5069 Angle sensors
• CPC Class Codes: A61H 2201/5097 wireless
• CPC Class Codes: A61H 2230/60 Muscle strain, i.e. measured on the user, e.g. Electromyography [EMG]
• CPC Class Codes: A61N 1/0492 Patch electrodes A61N1/0412, A61N1/0428 take precedence
• CPC Class Codes: A61N 1/36003 of motor muscles, e.g. for walking assistance

Abstract

A system for treating a patient with neurological disorders of movement includes a patient computing device for use in rehabilitative training and a sensor worn about a body part being rehabilitated. A healthcare computing device is used by a healthcare professional to assist remote patient rehabilitation by accepting input signals and determining for the patient a rehab protocol depending on selected parameters, and determining for the patient a behavior shaping target depending on selected parameters and the rehab protocol and behavior shaping target is communicated to the patient while the patient is undergoing rehabilitation. A plurality of remote health data sites and other public repositories of health data of patients undergoing rehabilitation following neurological events can be included. The remote computing device can include a data repository of publicly available patient data and patient data gathered by system of present invention.

Claims

1. A system for treating a patient with neurological disorders of movement, comprising:

a patient interface including;

a wearable patch electromyography (EMG) sensor adapted to be worn on a body part of the patient being rehabilitated, a speed of motion sensor, a joint angle sensor and a force sensor, for detecting physiological input signals including EMG, velocity, joint angle and force;

a healthcare computing device configured for use by a healthcare professional to assist remote patient rehabilitation by;

receiving patient physiological input signals including near-real-time signals from said patient interface,

automatically determining, for the patient, an initial rehab protocol based in part on said patient physiological input signals,

receiving a user selection of a mode of deriving a visual behavior-shaping target, deriving, during a first rehabilitation session for the patient, said visual behavior shaping target based on said initial rehab protocol, said mode of deriving a visual behavior-shaping target, and said near-real-time signals from said EMG sensor,

communicating said visual behavior shaping target to a patient computing device while the patient is undergoing rehabilitation, and

subsequently dynamically modifying said visual behavior-shaping target during said first rehabilitation session based on said near real-time signals from said EMG sensor after the patient has reacted to said visual behavior-shaping target in said first rehabilitation session,

wherein said patient interface is in wireless or wired communication with said patient computing device and wherein said healthcare computing device is in wireless or wired communication with said patient computing device.

2. The system of claim 1, wherein said healthcare computing device is configured to access a commercial or government database of health data and to use said health data in said determining of the initial rehab protocol.

3. The system of claim 1, wherein said patient interface provides tactile stimuli in response to achievement of said visual behavior-shaping target.

4. The system of claim 1, wherein said EMG sensor includes an integrated processor and signal processing hardware.

5. The system of claim 1, wherein said healthcare computing device is further configured to accept a manual input to override or adjust said initial rehab protocol in real-time.

6. The system of claim 1, wherein said mode of deriving a visual behavior-shaping target consists of either a manual mode, a mode based on patient history, or a mode based on similar patients.

7. The system of claim 6, wherein said mode based on similar patients is based on historical progress data of said similar patients.

8. The system of claim 1, further comprising said healthcare computing device determining said visual behavior-shaping target for a second rehabilitation session based on the patient'"'"'s EMG signals from a previous rehabilitation session.

9. The system of claim 1, wherein said visual behavior shaping target is displayed to the patient along with an avatar of the body part being rehabilitated.

10. The system of claim 1,

wherein said subsequent dynamic modification of said visual behavior-shaping target is also based on speed of motion of the body part being rehabilitated and inputs from said joint angle and force sensors.

11. The system of claim 10, wherein said visual behavior-shaping target is displayed to the patient along with an avatar of the body part being rehabilitated.

12. The system of claim 1, wherein said visual behavior-shaping target comprises a graph showing past actual patient performance, past target levels, current patient performance and current target levels.

13. The system of claim 1, further comprising a second EMG sensor and wherein said visual behavior-shaping target is determined at least in part based on EMG signals from agonist and antagonist muscle groups of the patient body part being rehabilitated.

14. A system for treating a patient with neurological disorders of movement, comprising:

a patient interface including a wearable patch electromyography (EMG) sensor adapted to be worn on a body part of the patient, said body part being rehabilitated;

a healthcare computing device configured for use by a healthcare professional to assist remote patient rehabilitation by;

receiving patient physiological input signals including near-real-time signals from said EMG sensor,

automatically determining, for the patient, an initial rehab protocol based in part on said patient physiological input signals,

receiving a user selection of a mode of deriving a visual behavior-shaping target,

deriving, during a first rehabilitation session for the patient, said visual behavior shaping target based on said initial rehab protocol, said mode of deriving a visual behavior-shaping target, and said near-real-time signals from said EMG sensor,

communicating said visual behavior shaping target to a patient computing device while the patient is undergoing rehabilitation, and

subsequently dynamically modifying said visual behavior-shaping target during said first rehabilitation session based on said near real-time signals from said EMG sensor after the patient has reacted to said visual behavior-shaping target in said first rehabilitation session,

wherein said EMG sensor is in wireless or wired communication with said patient computing device and wherein said healthcare computing device is in wireless or wired communication with said patient computing device

the system further comprising

a speed of motion sensor adapted for sensing speed of motion of said body part and wherein said dynamic adjustment of said visual behavior-shaping target is also based on sensed speed of motion of said body part.

15. The system of claim 14, wherein said visual behavior-shaping target is further determined based on speed of motion of the body part being rehabilitated.

16. A system for treating a patient with neurological disorders of movement, comprising:

a patient interface including first and second wearable patch electromyography (EMG) sensors, a speed of motion sensor, a joint angle sensor, and a force sensor adapted to be worn on a body part of the patient, said body part being rehabilitated;

a healthcare computing device configured for use by a healthcare professional to assist remote patient rehabilitation by;

receiving patient physiological input signals including near-real-time signals from said first and second EMG sensors, said speed of motion sensor, said joint angle sensor, and said force sensor,

determining, for the patient, an initial rehab protocol based in part on said patient physiological input signals,

receiving a user selection of a mode of deriving a visual behavior-shaping target,

deriving, during a first rehabilitation session for the patient, said visual behavior-shaping target based on said initial rehab protocol, said mode of deriving a visual behavior-shaping target, and said near-real-time signals from said first and second EMG sensors,

communicating said visual behavior-shaping target to a patient computing device while the patient is undergoing rehabilitation, and

subsequently dynamically modifying said visual behavior-shaping target during said first rehabilitation session based on said near real-time signals from said first and second EMG sensors, speed of movement of the body part being rehabilitated and inputs from said joint angle and force sensors, after the patient has reacted to said visual behavior-shaping target in said first rehabilitation session,

wherein said first and second EMG sensors are configured to produce signals from agonist and antagonist muscle groups of the patient body part being rehabilitated and are in wireless or wired communication with said patient computing device,

wherein said healthcare computing device is in wireless or wired communication with said patient computing device, and

wherein said visual behavior-shaping target is displayed on said patient computing device along with an avatar of the body part being rehabilitated.

17. The system of claim 16, wherein said healthcare computing device is further configured to base said dynamic modifying of a visual behavior-shaping target in part on historical progress data of the patient being rehabilitated.

18. The system of claim 16, wherein said healthcare computing device is further configured to base said dynamic modifying of a visual behavior-shaping target in part on historical progress data of patients with similar prognoses as the patient being rehabilitated.