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Parametric analysis of dynamic postural responses.

S A Werness, D J Anderson

    Biological Cybernetics
    |January 1, 1984
    PubMed
    Summary
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    This study models human postural control using transfer functions, revealing that vision significantly impacts stability. Closing eyes leads to more oscillatory and less damped responses, highlighting the crucial role of visual feedback in maintaining balance.

    Area of Science:

    • Biomechanics
    • Human Motor Control
    • Systems Neuroscience

    Background:

    • Understanding postural control is essential for diagnosing movement disorders.
    • Quantifying both deterministic and stochastic aspects of posture is crucial under dynamic conditions.

    Purpose of the Study:

    • To develop concise parametric models for human postural behavior.
    • To analyze postural control under varying dynamic conditions and sensory inputs.

    Main Methods:

    • Applied linear pseudorandom disturbances to the base of support in human subjects.
    • Derived transfer function plus noise models for shoulder and waist position data.
    • Empirically determined model orders and parameters.

    Main Results:

    Related Experiment Videos

    • Developed concise postural models with 1-2 poles and 0-2 zeros.
    • Identified that eyes-closed responses are more oscillatory and less damped than eyes-open.
    • Postural noise quantity and frequency correlate positively with platform motion amplitude and absence of vision.

    Conclusions:

    • Concise parametric models effectively capture postural control dynamics.
    • Vision plays a critical role in damping postural oscillations and increasing stability.
    • Sensory feedback significantly influences the deterministic and stochastic properties of postural control.