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Related Experiment Video

Updated: Dec 30, 2025

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
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A Simple Method to Estimate Muscle Currents from HD-sEMG and MRI using Electrical Network and Graph Theory.

E Piovanelli, D Piovesan, S Shirafuji

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 18, 2020
    PubMed
    Summary

    This study introduces a new method using MRI and HD-sEMG to estimate muscle currents for prosthetic control. While effective for single muscle tasks, it shows variability for multiple muscle contractions.

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    Area of Science:

    • Biomedical Engineering
    • Neuroscience
    • Rehabilitation Engineering

    Background:

    • Advancements in hand prosthetics necessitate improved physiological signal processing.
    • Current methods for estimating muscle information are not yet suitable for prosthetic applications.
    • Existing algorithms often rely solely on electrode-based data.

    Purpose of the Study:

    • To develop and evaluate a novel method for estimating forearm muscle currents.
    • To integrate information from Magnetic Resonance Imaging (MRI) and high-density surface electromyography (HD-sEMG).
    • To assess the method's performance in controlling prosthetic devices.

    Main Methods:

    • Utilized MRI data combined with a single row of HD-sEMG electrodes.
    • Modeled signal propagation using a resistive electrical network.
    • Applied graph theory to calculate muscle currents.
    • Experimentally tested on two simple wrist movements.

    Main Results:

    • Successfully identified the correct muscle during single muscle-contraction tasks.
    • Observed high variance in results for two-muscle contraction tasks.
    • Demonstrated a simplified approach to muscle current estimation.

    Conclusions:

    • The proposed method offers a potentially effective approach for prosthetic control.
    • Further refinement is needed to address variability in multi-muscle tasks.
    • The technique significantly reduces the complexity of muscle current estimation.