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Updated: Jul 30, 2025

Surface Electromyographic Biofeedback as a Rehabilitation Tool for Patients with Global Brachial Plexus Injury Receiving Bionic Reconstruction
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Functionally Adaptive Myosite Selection Using High-Density sEMG for Upper Limb Myoelectric Prostheses.

Rebecca J Greene, Christopher Hunt, Sapna Kumar

    IEEE Transactions on Bio-Medical Engineering
    |May 16, 2023
    PubMed
    Summary
    This summary is machine-generated.

    Functionally Adaptive Myosite Selection (FAMS) is a new method for placing electrodes in prosthetic limbs. It quickly predicts performance, improving control and reducing fitting time for amputees.

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    Area of Science:

    • Biomedical Engineering
    • Rehabilitation Engineering
    • Prosthetics

    Background:

    • Effective prosthetic control relies on optimal electrode placement.
    • Current methods can be time-consuming and may not adapt to individual patient needs.

    Purpose of the Study:

    • To introduce Functionally Adaptive Myosite Selection (FAMS), a novel method for rapid and effective electrode placement in prosthesis fitting.
    • To demonstrate FAMS's adaptability to patient anatomy and functional goals, independent of classification models.
    • To provide insight into expected classifier performance without extensive model training.

    Main Methods:

    • FAMS utilizes a separability metric to predict classifier performance during prosthesis fitting.
    • The method evaluates electrode configurations based on predicted performance and anatomical suitability.
    • Applied to two amputee subjects to determine optimal electrode placement.

    Main Results:

    • A predictable relationship exists between the FAMS metric and classifier accuracy, enabling performance estimation.
    • FAMS-selected configurations improved control performance with Artificial Neural Network (ANN) classifiers and matched Linear Discriminant Analysis (LDA) classifier performance.
    • Achieved 95.8% of maximum classification performance using a mean of 25 electrodes for amputee subjects.

    Conclusions:

    • FAMS offers a rapid tool for approximating the trade-offs between electrode count and classifier performance.
    • This method is valuable for optimizing electrode placement during prosthesis fitting.
    • FAMS enhances the efficiency and effectiveness of prosthetic limb control for amputees.