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Direct estimation of the parameters of a delayed, intermittent activation feedback model of postural sway during quiet standing


Autoři: Kevin L. McKee aff001;  Michael C. Neale aff001
Působiště autorů: Virginia Commonwealth University, Virginia Institute of Psychiatric and Behavioral Genetics, Richmond, Virginia, United States of America aff001
Vyšlo v časopise: PLoS ONE 14(9)
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pone.0222664

Souhrn

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.

Klíčová slova:

Biology and life sciences – Physical sciences – Engineering and technology – Research and analysis methods – Neuroscience – Cognitive science – Computer and information sciences – Mathematics – Simulation and modeling – Anatomy – Medicine and health sciences – Cognitive neuroscience – Applied mathematics – Algorithms – Musculoskeletal system – Body limbs – Signal processing – Systems science – Motor reactions – Postural control – Legs – Control engineering – Ankles – Kalman filter – Control theory – Noise reduction – Differential equations – Numerical analysis – Interpolation


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