METHOD AND SYSTEM FOR INTERPRETING NEURAL INTERPLAY INVOLVING PROPRIOCEPTIVE ADAPTATION DURING A DUAL TASK PARADIGM

• US 20200135324A1
• Filed: 09/30/2019
• Published: 04/30/2020
• Est. Priority Date: 10/25/2018
• Status: Active Grant

• Current Assignee: TATA Consultancy Services Limited (Tata Sons Pvt Ltd.)
• Original Assignee: TATA Consultancy Services Limited (Tata Sons Pvt Ltd.)
• Inventors: ROY, Sangheeta, MAZUMDER, Oishee, CHAKRAVARTY, Kingshuk, CHATTERJEE, Debatri, SINHA, Aniruddha
• Granted Patent: US 11,468,977 B2
• Time in Patent Office: Days
• CPC Class Codes: A61B 2505/09 Rehabilitation or training
• CPC Class Codes: A61B 5/1114 Tracking parts of the body
• CPC Class Codes: A61B 5/1116 Determining posture transitions
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/744 Displaying an avatar, e.g. an animated cartoon character
• CPC Class Codes: A63B 2024/0096 using performance related parameters for controlling electronic or video games or avatars
• CPC Class Codes: A63B 24/0062 Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
• 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 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

Collision avoidance and postural stability adjustment may provide an effective dual task paradigm to interpret the effect of proprioceptive adaptation on balance control. However, conventionally tasks are physical tasks performed under supervision in specific set up environments. Implementations of the present disclosure provide methods and systems for interpreting neural interplay involving proprioceptive adaptation in a lower limb during a dual task paradigm. The disclosed method provides a better interpreting of the neuronal mechanisms underlying adaptation and learning of skilled motor movement and to determine the relationship of lower limb proprioceptive sense and postural stability by simulating integration of a Single Limb Stance (SLS) functionality test for postural stability and a single limb collision avoidance task, in an adaptive Virtual Reality (VR) environment provided to a subject.

Claims

1. A processor implemented method for interpreting neural interplay involving proprioceptive adaptation during a dual task paradigm, the method comprising:

monitoring, by one or more hardware processors, a subject performing the dual task paradigm, wherein the dual task paradigm is performed by the subject with a lower limb, from both limbs of the subject, at predefined intervals for a predefined time period for interpreting the neural interplay involving proprioceptive adaptation in the lower limb of the subject while performing the dual task paradigm,

wherein the dual task paradigm comprises;

simulating integration of a Single Limb Stance (SLS) functionality test for postural stability and a single limb collision avoidance task, in an adaptive Virtual Reality (VR) environment provided to the subject, wherein the subject is positioned on an object in the VR environment equipped with one of a VR head set for immersive environment and a display screen for non-immersive environment, Electromyography (EMG) sensors placed on muscles associated with ankle joints of both limbs of the subject, and wherein motion of the subject while performing the dual task paradigm is sensed using a set of motion sensors placed at a predefined distance from the object;

receiving, by the one or more hardware processors, data associated with the subject performing the dual task paradigm, wherein the data comprises metadata of an avatar of the subject from one of the VR head set when in immersive environment and the display screen when in non-immersive environment, data from the EMG sensors and data from the set of motion sensors, to estimate a plurality of model parameters for the subject, wherein the plurality of model parameters comprise a Centre of Mass (CoM) sway, a collision rate, a trajectory smoothness variation and a muscle co-activation of the subject for the dual task paradigm; and

analyzing, by the by one or more hardware processors, variation in the CoM sway, the collision rate, the trajectory smoothness variation and the muscle co-activation estimated for the subject in accordance with the dual task paradigm performed by the subject at the predefined intervals for the predefined time period to interpret the neural interplay involving proprioceptive adaptation in the lower limb during the dual task paradigm, wherein analysis provides a task that subject prioritizes among postural stability and collision avoidance in the dual task paradigm.

2. The method of claim 1, wherein the analyzed variation in the CoM sway, the collision rate, the trajectory smoothness variation and the muscle co-activation provides interpreting of the neural interplay involving proprioceptive adaptation in the lower limb of the subject is used to design personalized rehabilitation therapy for the subject.

3. The method of claim 1, wherein the dual task paradigm integrating the SLS functionality test for postural stability and the single limb collision avoidance task in the adaptive VR environment provided to the subject further comprises:

instructing the subject to stand on the object with both the limbs resting on the object;

displaying to the subject, using the VR head set, trail of control lines and obstacles of a predefined height approaching the avatar in the VR environment;

instructing the subject to lift the lower limb for a SLS posture when both limbs of the avatar touch a control line in the approaching trail and hold the SLS posture till an obstacle in the trail is crossed over by the avatar; and

notifying the subject of success or failure in maintaining the SLS posture and crossing of the obstacle along with a feedback to the subject for corrective action improve the collision avoidance in the SLS posture.

4. A system for interpreting neural interplay involving proprioceptive adaptation during a dual task paradigm, the system comprising:

a memory storing instructions;

one or more Input/Output (I/O) interfaces; and

one or more hardware processors coupled to the memory via the one or more I/O interfaces, wherein the one or more hardware processors are configured by the instructions to;

monitor a subject performing the dual task paradigm, wherein the dual task paradigm is performed by the subject with a lower limb, from both limbs of the subject, at predefined intervals for a predefined time period for interpreting the neural interplay involving proprioceptive adaptation in the lower limb of the subject while performing the dual task paradigm,

wherein the dual task paradigm comprises;

simulating integration of a Single Limb Stance (SLS) functionality test for postural stability and a single limb collision avoidance task, in an adaptive Virtual Reality (VR) environment provided to the subject, wherein the subject is positioned on an object in the VR environment equipped with one of a VR head set for immersive environment and a display screen for non-immersive environment, Electromyography (EMG) sensors placed on muscles associated with ankle joints of both limbs of the subject, and wherein motion of the subject while performing the dual task paradigm is sensed using a set of motion sensors placed at a predefined distance from the object;

receive data associated with the subject performing the dual task paradigm, wherein the data comprises metadata of an avatar of the subject from one of the VR head set when in immersive environment and the display screen when in non-immersive environment, data from the EMG sensors and data from the set of motion sensors, to estimate a plurality of model parameters for the subject, wherein the plurality of model parameters comprise a Centre of Mass (CoM) sway, a collision rate, a trajectory smoothness variation and a muscle co-activation of the subject for the dual task paradigm; and

analyze variation in the CoM sway, the collision rate, the trajectory smoothness variation and the muscle co-activation estimated for the subject in accordance with the dual task paradigm performed by the subject at the predefined intervals for the predefined time period to interpret the neural interplay involving proprioceptive adaptation in the lower limb during the dual task paradigm, wherein analysis provides a task that subject prioritizes among postural stability and collision avoidance in the dual task paradigm.

5. The system of claim 4, wherein the one or more hardware processors are configured to analyze variation in the CoM sway, the collision rate, the trajectory smoothness variation and the muscle co-activation provides interpreting of the neural interplay involving proprioceptive adaptation in the lower limb of the subject is used to design personalized rehabilitation therapy for the subject.

6. The system of claim 4, wherein the one or more hardware processors are configured to:

instruct the subject to stand on the object with both the limbs resting on the object;

display to the subject, using the VR head set, trail of control lines and obstacles of a predefined height approaching the avatar in the VR environment;

instruct the subject to lift the lower limb for a SLS posture when both limbs of the avatar touch a control line in the approaching trail and hold the SLS posture till an obstacle in the trail is crossed over by the avatar; and

notify the subject of success or failure in maintaining the SLS posture and crossing of the obstacle along with a feedback to the subject for corrective action improve the collision avoidance in the SLS posture.

7. One or more non-transitory machine readable information storage media comprising one or more instructions which when executed by one or more hardware processors causes a method for:

monitoring a subject performing the dual task paradigm, wherein the dual task paradigm is performed by the subject with a lower limb, from both limbs of the subject, at predefined intervals for a predefined time period for interpreting the neural interplay involving proprioceptive adaptation in the lower limb of the subject while performing the dual task paradigm,

wherein the dual task paradigm comprises;

simulating integration of a Single Limb Stance (SLS) functionality test for postural stability and a single limb collision avoidance task, in an adaptive Virtual Reality (VR) environment provided to the subject, wherein the subject is positioned on an object in the VR environment equipped with one of a VR head set for immersive environment and a display screen for non-immersive environment, Electromyography (EMG) sensors placed on muscles associated with ankle joints of both limbs of the subject, and wherein motion of the subject while performing the dual task paradigm is sensed using a set of motion sensors placed at a predefined distance from the object;

receiving data associated with the subject performing the dual task paradigm, wherein the data comprises metadata of an avatar of the subject from one of the VR head set when in immersive environment and the display screen when in non-immersive environment, data from the EMG sensors and data from the set of motion sensors, to estimate a plurality of model parameters for the subject, wherein the plurality of model parameters comprise a Centre of Mass (CoM) sway, a collision rate, a trajectory smoothness variation and a muscle co-activation of the subject for the dual task paradigm; and

analyzing variation in the CoM sway, the collision rate, the trajectory smoothness variation and the muscle co-activation estimated for the subject in accordance with the dual task paradigm performed by the subject at the predefined intervals for the predefined time period to interpret the neural interplay involving proprioceptive adaptation in the lower limb during the dual task paradigm, wherein analysis provides a task that subject prioritizes among postural stability and collision avoidance in the dual task paradigm.

8. The one or more non-transitory machine readable information storage media of claim 7, wherein the analyzed variation in the CoM sway, the collision rate, the trajectory smoothness variation and the muscle co-activation provides interpreting of the neural interplay involving proprioceptive adaptation in the lower limb of the subject is used to design personalized rehabilitation therapy for the subject.

9. The one or more non-transitory machine readable information storage media of claim 7, wherein the dual task paradigm integrating the SLS functionality test for postural stability and the single limb collision avoidance task in the adaptive VR environment provided to the subject further comprises:

instructing the subject to stand on the object with both the limbs resting on the object;

displaying to the subject, using the VR head set, trail of control lines and obstacles of a predefined height approaching the avatar in the VR environment;

instructing the subject to lift the lower limb for a SLS posture when both limbs of the avatar touch a control line in the approaching trail and hold the SLS posture till an obstacle in the trail is crossed over by the avatar; and

notifying the subject of success or failure in maintaining the SLS posture and crossing of the obstacle along with a feedback to the subject for corrective action improve the collision avoidance in the SLS posture.