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Electromyographic Bridge-a multi-movement volitional control method for functional electrical stimulation: prototype

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    Area of Science:

    • Biomedical Engineering
    • Rehabilitation Technology
    • Neuroprosthetics

    Background:

    • Voluntary participation is key for functional electrical stimulation (FES) therapy.
    • Developing intuitive control strategies for FES is essential for restoring function in paralyzed individuals.

    Purpose of the Study:

    • To develop and validate the "EMG Bridge" (EMGB) system for volitional control of multiple movements using FES.
    • To enable paralyzed patients to control FES-assisted movements through surface electromyography (sEMG) signals.

    Main Methods:

    • The EMGB system translates sEMG signals from agonist muscles into stimulation pulses using a novel MAV/NSS co-modulation (MNDC) algorithm.
    • Linear discriminant analysis (LDA) was employed for motion pattern classification and mapping sEMG channels to FES stimulation channels.
    • A prototype system was constructed for real-time control of four distinct hand movements.

    Main Results:

    • The EMGB system successfully reproduced intended movements with an average success rate of 92.5±3.5%.
    • Joint angle trajectories for wrist and metacarpophalangeal joints were closely mimicked, achieving a maximum cross-correlation coefficient greater than 0.84.
    • The system demonstrated a low latency of less than 300 ms for movement control.

    Conclusions:

    • The EMG Bridge (EMGB) system offers a viable strategy for volitional control of FES, significantly improving functional restoration in paralyzed patients.
    • The developed system shows high accuracy and low latency, paving the way for advanced neuroprosthetic applications.