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Surface Electromyographic Biofeedback as a Rehabilitation Tool for Patients with Global Brachial Plexus Injury Receiving Bionic Reconstruction
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Using EMG Biofeedback to Restore Closed-Loop Neural Control on a Powered Prosthetic Ankle.

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    IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
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    Summary

    Electromyography (EMG) biofeedback enhances transtibial amputees' ability to control powered prosthetic ankles. This non-invasive system improves target accuracy and muscle signal separation for better prosthetic limb function.

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    Area of Science:

    • Biomedical Engineering
    • Rehabilitation Technology
    • Neuroprosthetics

    Background:

    • Transtibial amputees face challenges controlling powered prosthetic ankles.
    • Direct Electromyography (dEMG) offers intuitive prosthetic control but requires precise muscle activation.
    • Effective sensory feedback is crucial for improving prosthetic limb control and user embodiment.

    Purpose of the Study:

    • To investigate the efficacy of a novel haptic-based electromyography (EMG) biofeedback system for enhancing transtibial amputees' control of powered prosthetic ankles using dEMG.
    • To evaluate the impact of EMG biofeedback on target matching accuracy and EMG signal separability in amputee participants.
    • To assess the feasibility of non-invasive proprioceptive feedback for lower limb amputees.

    Main Methods:

    • Development of a novel haptic biofeedback system integrating an HD haptic vest and encoder to translate EMG magnitude into tactile vibrations.
    • Recruitment of six transtibial amputees and six non-disabled participants for a position matching task.
    • Evaluation of dEMG control of a powered prosthetic ankle with and without the biofeedback system after a short acclimation period.

    Main Results:

    • EMG biofeedback significantly improved target matching accuracy for participants.
    • The biofeedback system resulted in more distinct EMG signals among amputees when attempting different targets.
    • Improvements were more pronounced for amputees when matching towards dorsiflexion targets.
    • High variability in performance was observed among amputee participants.

    Conclusions:

    • Haptic-based EMG biofeedback is effective in improving transtibial amputees' control of powered prosthetic ankles via dEMG.
    • The developed system provides a feasible non-invasive method for delivering proprioceptive feedback based on muscle activity.
    • Further research is warranted to address performance variations among amputees and optimize feedback strategies.