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Assessing Personalized FES Patterns for Gait Rehabilitation in a Clinical Setting.

Nicolas Feppon, Amine Metani, Samer Mohammed

    IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]
    |July 11, 2025
    PubMed
    Summary

    Personalizing functional electrical stimulation (FES) for gait rehabilitation improves outcomes for stroke patients. Selected metrics reveal patient-specific gains in walking speed and stride length, highlighting the need for tailored FES strategies.

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    Area of Science:

    • Neuroscience
    • Rehabilitation Engineering
    • Biomedical Engineering

    Background:

    • Functional electrical stimulation (FES) is crucial for motor and neurological rehabilitation.
    • Patient responses to FES vary significantly due to individual pathology and clinical profiles.
    • Personalizing FES parameters is essential for optimizing gait neurorehabilitation outcomes.

    Purpose of the Study:

    • To assess if selected metrics can comprehensively evaluate the effectiveness of personalized FES gait patterns in post-stroke patients.
    • To determine if these metrics reflect both immediate orthotic effects and long-term rehabilitation progress.
    • To analyze gait parameters indicating improved treatment outcomes in a clinical setting.

    Main Methods:

    • A preliminary case study involving three post-stroke hemiplegic individuals.
    • Utilized NeuroSkin, a multichannel textile FES system with integrated movement sensors and dry electrodes.
    • Evaluated various FES stimulation patterns using metrics for kinematic, spatio-temporal, postural, and asymmetry aspects of gait.

    Main Results:

    • Modest overall improvements in walking speed (+0.63 cm/s) and stride length (+0.41 cm) were observed with personalized FES patterns.
    • Patient-dependent analysis revealed substantial, heterogeneous improvements in walking speed (+3.3 cm/s), stride length (+4.7 cm), asymmetry, and postural control.
    • Significant differences in improvements were noted across individuals, indicating a strong patient-specific response.

    Conclusions:

    • Selected metrics can evaluate FES-aided gait assessments, reflecting both immediate and rehabilitative effects.
    • Integrating these metrics is recommended for FES gait rehabilitation.
    • Further research is needed to identify primary metrics for optimizing FES strategies due to heterogeneous patient improvements and current framework limitations.