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Related Concept Videos

Entropy02:39

Entropy

25.9K
Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
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Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
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Using entropy measures to characterize human locomotion.

Graham Leverick, Tony Szturm, Christine Q Wu

    Journal of Biomechanical Engineering
    |August 28, 2014
    PubMed
    Summary
    This summary is machine-generated.

    Entropy measures quantify human locomotion complexity. Four measures increased with falling risk in a model and with age/impairment in experiments, showing entropy

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    Area of Science:

    • Dynamical systems analysis
    • Biomechanics
    • Human locomotion

    Background:

    • Entropy measures are established tools for quantifying complexity in dynamical systems.
    • Their application to human locomotion remains less explored.

    Purpose of the Study:

    • To evaluate the utility of entropy measures for characterizing human locomotion stability.
    • To assess construct, predictive, and convergent validity of entropy measures in gait analysis.

    Main Methods:

    • Utilized a passive bipedal walker model to simulate varying fall probabilities.
    • Conducted an experimental study involving human participants across different ages and cognitive loads.
    • Calculated five entropy measures, including quantized dynamical entropy (QDE) and quantization-based approximation of sample entropy (QASE).

    Main Results:

    • Four of five entropy measures significantly increased with higher fall probability in the walker model.
    • The same four entropy measures showed statistically significant increases with advancing age and cognitive interference-induced gait impairment.
    • QDE and QASE demonstrated optimal sensitivity and computational efficiency.

    Conclusions:

    • Entropy measures are valid and sensitive indicators of human locomotion stability.
    • QDE and QASE show particular promise for practical gait analysis and stability assessment.