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Related Experiment Video

Updated: Dec 6, 2025

Use of a Foot-Induced Digitally Controlled Resistance Device for Functional Magnetic Resonance Imaging Evaluation in Patients with Foot Paresis
08:55

Use of a Foot-Induced Digitally Controlled Resistance Device for Functional Magnetic Resonance Imaging Evaluation in Patients with Foot Paresis

Published on: July 7, 2023

536

Step capacitive array sensor to trigger stimulation on Functional Electrical Stimulators devices for Drop Foot:

Pablo Aqueveque, Francisco Pastene, Rodrigo Osorio

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 6, 2020
    PubMed
    Summary

    A new wireless capacitive sensor and algorithm detect gait phases for Functional Electrical Stimulator (FES) devices. This system offers a robust alternative for Drop Foot treatment by accurately timing stimulation during the swing phase.

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    Area of Science:

    • Biomedical Engineering
    • Rehabilitation Technology

    Background:

    • Drop Foot, a condition affecting gait, often requires Functional Electrical Stimulator (FES) devices for rehabilitation.
    • Accurate detection of gait phases is crucial for effective FES device triggering.

    Purpose of the Study:

    • To develop and validate a novel wireless capacitive step sensor system.
    • To enable real-time detection of the gait swing phase for FES applications.

    Main Methods:

    • Designed a custom wireless capacitive sensor array to capture Heel Center of Pressure (HCOP) patterns.
    • Developed a real-time algorithm to identify the start and end of the swing phase.
    • Compared sensor performance against a lower-back accelerometer.

    Main Results:

    • The system accurately detected gait events, with average errors of 20.86±0.02 ms for heel strike and 27.60±0.03 ms for heel-off.
    • The proposed sensor demonstrated high precision in identifying key gait phase transitions.

    Conclusions:

    • The wireless capacitive step sensor and algorithm provide a viable and robust solution for gait phase detection.
    • This technology shows promise as an advanced step sensor for FES devices, improving Drop Foot treatment.