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Related Experiment Video

Updated: Dec 23, 2025

Use of a Foot-Induced Digitally Controlled Resistance Device for Functional Magnetic Resonance Imaging Evaluation in Patients with Foot Paresis
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Adaptive Stimulation Profiles Modulation for Foot Drop Correction Using Functional Electrical Stimulation: A Proof of

Yurong Li, Xu Yang, Yuezhu Zhou

    IEEE Journal of Biomedical and Health Informatics
    |April 29, 2020
    PubMed
    Summary

    This study introduces adaptive functional electrical stimulation (FES) for foot drop (FD) correction. The novel closed-loop system uses EMG prediction to create natural gait patterns, improving FES effectiveness.

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    Area of Science:

    • Biomedical Engineering
    • Neurorehabilitation
    • Robotics

    Background:

    • Functional electrical stimulation (FES) is a key technology for correcting foot drop (FD).
    • Existing FES methods often suffer from redundant and imprecise stimulation.
    • Adaptive control strategies are needed to optimize FES for natural gait restoration.

    Purpose of the Study:

    • To develop and validate a closed-loop, adaptive electromyography (EMG)-modulated FES system for FD correction.
    • To overcome limitations of current FES techniques by incorporating real-time gait data.
    • To achieve a more natural and effective gait pattern for individuals with FD.

    Main Methods:

    • A closed-loop system utilizing real-time angular velocity detection during walking.
    • Integration of a long short-term memory (LSTM) neural network to predict tibialis anterior (TA) EMG.
    • Modulation of stimulation intensity based on predicted EMG, considering subject-specific activation characteristics.

    Main Results:

    • Successful induction of ankle joint dorsiflexion in both able-bodied participants and individuals with FD.
    • Generation of an activation pattern closely resembling natural gait, evidenced by a mean Correlation Coefficient of 0.9021.
    • Demonstration of the system's potential as a proof of concept for FD rehabilitation.

    Conclusions:

    • The proposed adaptive EMG-modulated FES system offers a significant advancement over conventional methods.
    • This technology has the potential to restore more normal gait patterns in patients with foot drop.
    • Further development could lead to improved FES devices for enhanced mobility and quality of life.