Real-Time Control of a Multi-Degree-of-Freedom Mirror Myoelectric Interface During Functional Task Training

Area of Science:

• Rehabilitation Engineering
• Neuroscience
• Biomedical Engineering

Background:

• Motor learning through training is crucial for rehabilitation.
• Myoelectric interfaces and exoskeletons offer real-time muscle feedback but face limitations in controlling multiple degrees of freedom, hindering functional task training.
• Current technologies limit the effectiveness of rehabilitation therapy.

Purpose of the Study:

• To develop a myoelectric interface enabling multi-degree-of-freedom control of an exoskeleton for arm, wrist, and hand joints, specifically for rehabilitation.
• To test the effectiveness of a mirror myoelectric interface for controlling a multi-degree-of-freedom exoskeleton.

Main Methods:

• A myoelectric decoder was trained using data from one upper limb.
• This decoder was mirrored to control a multi-degree-of-freedom exoskeleton with the opposite upper limb in 10 healthy participants.
• The effectiveness was evaluated by measuring trial execution time and failure rates over five sessions.

Main Results:

• All participants demonstrated successful simultaneous control of multiple upper-limb joints.
• Evidence of learning the mirror myoelectric model was observed within five sessions.
• A significant decrease in trial execution time and the number of failed trials indicated successful motor learning.

Conclusions:

• The developed mirror myoelectric interface allows for multi-joint exoskeleton control, crucial for advanced rehabilitation.
• The study provides a foundation for future research into using this technology for motor rehabilitation in stroke patients.
• This approach shows potential for fostering natural electromyography (EMG) pattern learning in affected limbs.