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Direct estimation of the parameters of a delayed, intermittent activation feedback model of postural sway during quiet standing
by
Neale, Michael C.
, McKee, Kevin L.
in
Activation
/ Age
/ Ankle
/ Behavior
/ Biology and Life Sciences
/ Brain research
/ Central nervous system
/ Computer and Information Sciences
/ Computer simulation
/ Differential equations
/ Engineering and Technology
/ Experimental data
/ Feedback
/ Harmonic oscillation
/ Human mechanics
/ Humans
/ Kalman filters
/ Linear algebra
/ Mathematical models
/ Medicine and Health Sciences
/ Models, Biological
/ Noise
/ Parameter estimation
/ Parameter identification
/ Physical Sciences
/ Physiological regulation
/ Postural Balance - physiology
/ Posture
/ Posture - physiology
/ Proportional integral derivative
/ Research and Analysis Methods
/ Standing Position
/ Statistics
/ Stochastic differential equations
/ Stochasticity
2019
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Direct estimation of the parameters of a delayed, intermittent activation feedback model of postural sway during quiet standing
by
Neale, Michael C.
, McKee, Kevin L.
in
Activation
/ Age
/ Ankle
/ Behavior
/ Biology and Life Sciences
/ Brain research
/ Central nervous system
/ Computer and Information Sciences
/ Computer simulation
/ Differential equations
/ Engineering and Technology
/ Experimental data
/ Feedback
/ Harmonic oscillation
/ Human mechanics
/ Humans
/ Kalman filters
/ Linear algebra
/ Mathematical models
/ Medicine and Health Sciences
/ Models, Biological
/ Noise
/ Parameter estimation
/ Parameter identification
/ Physical Sciences
/ Physiological regulation
/ Postural Balance - physiology
/ Posture
/ Posture - physiology
/ Proportional integral derivative
/ Research and Analysis Methods
/ Standing Position
/ Statistics
/ Stochastic differential equations
/ Stochasticity
2019
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Direct estimation of the parameters of a delayed, intermittent activation feedback model of postural sway during quiet standing
by
Neale, Michael C.
, McKee, Kevin L.
in
Activation
/ Age
/ Ankle
/ Behavior
/ Biology and Life Sciences
/ Brain research
/ Central nervous system
/ Computer and Information Sciences
/ Computer simulation
/ Differential equations
/ Engineering and Technology
/ Experimental data
/ Feedback
/ Harmonic oscillation
/ Human mechanics
/ Humans
/ Kalman filters
/ Linear algebra
/ Mathematical models
/ Medicine and Health Sciences
/ Models, Biological
/ Noise
/ Parameter estimation
/ Parameter identification
/ Physical Sciences
/ Physiological regulation
/ Postural Balance - physiology
/ Posture
/ Posture - physiology
/ Proportional integral derivative
/ Research and Analysis Methods
/ Standing Position
/ Statistics
/ Stochastic differential equations
/ Stochasticity
2019
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Direct estimation of the parameters of a delayed, intermittent activation feedback model of postural sway during quiet standing
Journal Article
Direct estimation of the parameters of a delayed, intermittent activation feedback model of postural sway during quiet standing
2019
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Overview
Human postural sway during quiet standing has been characterized as a proportional-integral-derivative controller with intermittent activation. In the model, patterns of sway result from both instantaneous, passive, mechanical resistance and delayed, intermittent resistance signaled by the central nervous system. A Kalman-Filter framework was designed to directly estimate from experimental data the parameters of the model's stochastic delay differential equations with discrete dynamic switching conditions. Simulations showed that all parameters could be estimated over a variety of possible data-generating configurations with varying degrees of bias and variance depending on their empirical identification. Applications to experimental data reveal distributions of each parameter that correspond well to previous findings, suggesting that many useful, physiological measures may be extracted from sway data. Individuals varied in degree and type of deviation from theoretical expectations, ranging from harmonic oscillation to non-equilibrium Langevin dynamics.
Publisher
Public Library of Science,Public Library of Science (PLoS)
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