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Surgically Implanted Electrodes Enable Real-Time Finger and Grasp Pattern Recognition for Prosthetic Hands.

A K Vaskov, P P Vu, N North

    Medrxiv : the Preprint Server for Health Sciences
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    PubMed
    Summary

    Researchers developed a new method using implanted electrodes and regenerative peripheral nerve interfaces (RPNIs) to enable intuitive control of prosthetic hands. This approach allows for faster and more accurate grasp control, significantly improving upper limb prosthesis functionality.

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    Area of Science:

    • Biomedical Engineering
    • Neuroprosthetics
    • Rehabilitation Robotics

    Background:

    • Current prosthetic hands offer limited, unintuitive control despite numerous degrees of freedom (DOF).
    • Directly translating neuromuscular signals into prosthetic commands is crucial for improved functionality.

    Approach:

    • Regenerative Peripheral Nerve Interfaces (RPNIs) were created by connecting muscle grafts to severed nerves in transradial amputees.
    • Bipolar electrodes implanted in RPNIs and residual muscles recorded high-quality electromyography (EMG) signals.
    • A high-speed pattern recognition system processed EMG for real-time prosthetic hand control.

    Key Points:

    • Participants achieved 86.5% accuracy controlling 10 virtual hand/wrist postures and 97.9% accuracy for 5 grasp postures.
    • Low latency (135-255 ms) and stable performance across different arm positions were observed.
    • High signal-to-noise ratio (23-350) EMG data facilitated precise finger and grasp control.

    Conclusions:

    • Surgically implanted electrodes within RPNIs provide high-fidelity EMG.
    • This enables reliable, intuitive finger and grasp control for upper limb prostheses.
    • The findings represent a significant advancement in neuroprosthetic control systems.