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Related Experiment Video

Updated: Mar 6, 2026

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb
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Human static postures analysis using empirical mode decomposition.

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    Summary

    Human postural stability during static postures was analyzed using stabilometric signals. The Critical Point (CP) parameter revealed significant differences based on visual input, feet position, age, and gender, aiding rehabilitation strategies.

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    Area of Science:

    • Biomechanics
    • Human postural control
    • Physiological measurements

    Background:

    • Static posture stability is crucial for daily activities and rehabilitation.
    • Conventional stabilometric analysis has limitations in capturing dynamic postural control.
    • Understanding factors influencing human stability is essential for effective interventions.

    Purpose of the Study:

    • To analyze human stability during static postures using advanced signal processing of stabilometric data.
    • To investigate the influence of visual input, feet position, age, and gender on postural stability.
    • To introduce and validate a novel method for assessing postural stability.

    Main Methods:

    • Utilized stabilometric signals to measure center of pressure (CoP) displacements in Medio-Lateral (ML) and Antero-Posterior (AP) directions.
    • Employed Empirical Mode Decomposition (EMD) to decompose stabilometric signals into Intrinsic Mode Functions (IMFs).
    • Applied a stabilogram-diffusion method to calculate the Critical Point (CP) index for each IMF.

    Main Results:

    • The Critical Point (CP) parameter demonstrated significant differences across various groups.
    • These significant differences were particularly notable in the Medio-Lateral (ML) direction.
    • Factors influencing stability included visual modality, feet position, age, and gender.

    Conclusions:

    • The proposed Critical Point (CP) method offers a sensitive and effective approach to analyzing human postural stability.
    • Findings highlight the impact of sensory-motor and demographic factors on static postural control.
    • The results provide valuable insights that can guide the rehabilitation process for individuals with stability deficits.