Design and testing of an under-actuated surface EMG-driven hand exoskeleton

Area of Science:

• Neurology
• Rehabilitation Robotics
• Biomedical Engineering

Background:

• Neurological conditions like stroke frequently cause hand impairment, necessitating costly rehabilitation.
• Robotic solutions offer a promising avenue to reduce therapy costs and enhance rehabilitation efficacy.

Purpose of the Study:

• To introduce a newly designed hand exoskeleton for rehabilitation and assistance.
• To integrate and evaluate a control strategy based on surface electromyography (sEMG) signals.

Main Methods:

• Design and fabrication of a novel hand exoskeleton.
• Integration of a control system utilizing surface electromyography (sEMG) signals.
• Preliminary testing on healthy subjects to assess system robustness and control strategy effectiveness.

Main Results:

• The developed hand exoskeleton demonstrated robustness in preliminary tests with healthy subjects.
• The sEMG-based control strategy effectively captured user intention for hand movement.
• The system showed potential in mimicking physiological finger force distribution across individuals.

Conclusions:

• The conceived hand exoskeleton, controlled by sEMG signals, shows promise for effective and potentially cost-efficient hand rehabilitation.
• The preliminary evaluation validates the system's robustness and the chosen control strategy for user-intent-driven assistance.