Myoelectrically controlled wrist robot for stroke rehabilitation

Area of Science:

• Neuroscience
• Rehabilitation Engineering
• Robotics

Background:

• Robot-assisted rehabilitation offers intensive training for stroke recovery.
• Early, voluntary participation of the paretic motor system is crucial for brain reorganization post-stroke.
• Current robot-assisted therapies often lack sufficient engagement of residual motor efforts.

Purpose of the Study:

• To evaluate the feasibility of robot-assisted rehabilitation using myoelectric control for upper limb motor recovery in stroke patients.
• To assess the impact of voluntary motor intention on robotic assistance during wrist rehabilitation.

Main Methods:

• An exoskeleton robotic system provided voluntary controlled assistance to the affected wrist.
• Surface electromyography (EMG) from wrist flexor and extensor muscles controlled the robotic assistance.
• Sixteen stroke survivors underwent 20 training sessions with constant resistant torque.

Main Results:

• Myoelectric control enabled stroke survivors to achieve a larger range of motion with reduced agonist muscle EMG.
• Training in unreached ranges was possible through voluntary residual EMG.
• Significant improvements were observed in muscle strength, clinical scales, and tracking accuracy (RMSE).

Conclusions:

• Robot-aided therapy incorporating voluntary patient participation via myoelectric control shows promise for upper limb motor recovery.
• This approach may enhance neuroplasticity and functional outcomes in stroke rehabilitation.
• Myoelectric control represents a feasible and potentially effective strategy for stroke rehabilitation robotics.