The goal of this randomized controlled trial is to determine whether using both brain and muscle signals to control a wrist-hand rehabilitation robot can improve recovery in people with chronic stroke.
A total of 48 participants will be randomly assigned to one of two groups. Both groups will receive 20 sessions of wrist-hand rehabilitation using an exoneuromusculoskeleton rehabilitation robot.
In the closed-loop sensorimotor integrated group, the system will use information from both brain-muscle coordination and muscle activity to recognize the participant's movement intention and provide electrical stimulation and robotic assistance. In the electromyography-driven group, the system will use muscle activity alone to control the electrical stimulation and robotic assistance.
The main questions this study aims to answer are:
Does control using both brain and muscle signals improve wrist and hand motor function more than control using muscle signals alone? Does this approach produce greater changes in coordination between the brain and muscles? Participants will complete motor-function and brain-muscle assessments before training, immediately after the 20 training sessions, and 3 months after training.
Inclusion Criteria:
Exclusion Criteria:
xiaoling.hu@polyu.edu.hk852 3400 3206
Participants will receive 20 sessions of wrist-hand rehabilitation using an exoneuromusculoskeleton (ENMS). In this group, corticomuscular coherence (CMC) and electromyographic (EMG) signals will be used together to identify voluntary movement intention and control neuromuscular electrical stimulation and robotic assistance during wrist and hand movements.
Participants will receive 20 sessions of wrist-hand rehabilitation using the same exoneuromusculoskeleton (ENMS). In this group, electromyographic (EMG) activity alone will be used to identify voluntary movement intention and control neuromuscular electrical stimulation and robotic assistance during wrist and hand movements.
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