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Related Experiment Video

Updated: Dec 30, 2025

Experimental Methods to Study Human Postural Control
08:12

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Published on: September 11, 2019

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Description of Postural Strategies through a Variable Structure Control.

Andrea Tigrini, Alessandro Mengarelli, Stefano Cardarelli

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 18, 2020
    PubMed
    Summary
    This summary is machine-generated.

    This study models human balance control using a double inverted pendulum to simulate postural strategies during support base perturbations. Optimized parameters help differentiate individual strategies and validate the model with electromyographic data.

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    Area of Science:

    • Biomechanics
    • Neuroscience
    • Robotics

    Background:

    • Human balance maintenance involves complex Central Nervous System (CNS) control.
    • Postural strategies are most apparent when the stance is challenged by external perturbations.

    Purpose of the Study:

    • To formulate a novel model for balance maintenance under support base movement perturbations.
    • To simulate and analyze human postural strategies using a biomechanical model.

    Main Methods:

    • A sliding mode control approach was used to stabilize a double inverted pendulum model.
    • Control parameters were optimized to match measured center of mass (COM) displacement.
    • Electromyographic (EMG) data were utilized for model validation.

    Main Results:

    • The model successfully simulated postural strategies in response to support base perturbations.
    • Optimized control parameters demonstrated potential for distinguishing between different subjects' postural strategies.
    • EMG data provided strong support for the model's accuracy and effectiveness.

    Conclusions:

    • The developed model offers a new method for studying human balance control mechanisms.
    • The findings suggest that specific control parameters can characterize individual postural strategies.
    • The integration of biomechanical modeling and EMG data enhances the understanding of human postural stability.