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Related Experiment Video

Updated: Dec 30, 2025

Experimental Methods to Study Human Postural Control
08:12

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Modeling Perturbed Posture Through An Adaptive Sliding Mode Approach.

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
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    Summary

    This study presents a novel model for maintaining upright stance under disturbed conditions. The adaptive sliding mode approach optimizes central nervous system control parameters, revealing evolving postural strategies.

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    Area of Science:

    • Biomechanics
    • Neuroscience
    • Robotics

    Background:

    • Maintaining upright stance is crucial for preventing falls, involving complex central nervous system (CNS) regulation.
    • Existing models often focus on unperturbed balance, leaving a gap in understanding responses to external disturbances.
    • Modeling human balance under perturbed conditions remains an open challenge in biomechanics and control theory.

    Purpose of the Study:

    • To introduce a new computational model for human balance maintenance during perturbed stance.
    • To simulate the central nervous system's (CNS) role in regulating balance against external disturbances.
    • To optimize control parameters to accurately reflect real-world postural responses.

    Main Methods:

    • An adaptive sliding mode control approach was employed to model CNS actions.
    • Control parameters were optimized using a simulation-to-experiment data matching technique.
    • The model was validated against experimental data of human subjects maintaining balance.

    Main Results:

    • The developed model effectively represents human balance maintenance under perturbed conditions.
    • Optimization of control parameters provided insights into CNS regulatory mechanisms.
    • Analysis of optimized parameters indicated the emergence of distinct postural strategies over time.

    Conclusions:

    • The proposed adaptive sliding mode model offers a robust framework for studying perturbed stance.
    • The findings suggest that the CNS dynamically adjusts postural strategies in response to disturbances.
    • This research contributes to a deeper understanding of human balance control and has implications for rehabilitation and assistive technologies.