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Enhanced Gait Phase Estimation for Lower Limb Exoskeletons by Integrating Contralateral Leg Information.

Jacob A Strick, Jason J Wiebrecht, Ryan J Farris

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    Summary

    This study introduces a new method using the contralateral leg to improve human gait phase estimation for lower limb exoskeleton control. This enhances accuracy, benefiting robot-assisted gait training for stroke rehabilitation.

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    Area of Science:

    • Biomechanics
    • Robotics
    • Rehabilitation Engineering

    Background:

    • Human gait phase estimation is crucial for controlling lower limb exoskeletons using biological signals.
    • Accurate gait phase estimation is essential to prevent device-user desynchronization and ensure proper torque application.
    • Current methods face challenges in achieving the high accuracy required for effective exoskeleton control.

    Purpose of the Study:

    • To develop a novel method for improving human gait phase estimation accuracy.
    • To leverage contralateral leg information to enhance gait phase estimation.
    • To validate the proposed method's effectiveness in both able-bodied and hemiparetic individuals.

    Main Methods:

    • A new algorithm was developed to incorporate contralateral leg data for gait phase estimation.
    • The method was tested using simulation data for able-bodied individuals.
    • Clinical data from three hemiparetic stroke patients were used to evaluate the method's performance.

    Main Results:

    • A 75.2% reduction in estimation error was observed compared to state-of-the-art methods in able-bodied simulations.
    • An average of 47.6% reduction in estimation error was achieved with hemiparetic stroke patient data.
    • An overall Root Mean Square Error (RMSE) of 2.28% was demonstrated across all subjects.

    Conclusions:

    • The proposed contralateral leg-based method significantly improves gait phase estimation accuracy.
    • This technique shows promise for enhancing the control of rehabilitative robotics, particularly lower limb exoskeletons.
    • Improved exoskeleton control can lead to greater user participation in robot-assisted gait training for stroke recovery.