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Personalized 3D-printed Headgear for Multi-electrode Transcranial Electrical Stimulation
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A wearable multi-pad electrode prototype for selective functional electrical stimulation of upper extremities.

Hai-Peng Wang, Ai-Wen Guo, Zheng-Yang Bi

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 25, 2017
    PubMed
    Summary

    This study introduces a novel wearable functional electrical stimulation (FES) system with smart technology for optimized electrode placement. The FES prototype automatically identifies optimal stimulation sites for improved rehabilitation convenience.

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    Area of Science:

    • Biomedical Engineering
    • Rehabilitation Technology
    • Wearable Devices

    Background:

    • Functional electrical stimulation (FES) is crucial for rehabilitation but requires precise electrode placement.
    • Current FES systems can be cumbersome and lack intelligent site optimization.
    • Improving FES usability in clinical and home settings is essential.

    Purpose of the Study:

    • To design a safe, easy-to-mount surface multi-pad stimulation electrode.
    • To develop a wearable, distributed FES prototype with integrated sensing, communication, and smart technology.
    • To create a smartphone application for intelligent optimization of stimulation electrode sites.

    Main Methods:

    • Designed a surface multi-pad stimulation electrode with selective characteristics.
    • Developed a wearable FES prototype incorporating sensing, communication, and smart technology.
    • Created an Android application for an algorithm to search for optimal stimulation sites.

    Main Results:

    • The FES prototype enables fast, intelligent optimization for electrode site selection and comfortable stimulation.
    • The system was validated on a healthy subject, demonstrating automatic stimulation site determination.
    • The developed system enhances the application and convenience of FES for rehabilitation.

    Conclusions:

    • The novel wearable FES system with smart technology effectively automates optimal stimulation site identification.
    • This innovation improves FES application and convenience for both clinical and home-based rehabilitation.
    • The developed system represents a significant advancement in intelligent FES for enhanced patient outcomes.