Advantages and problems of nonlinear methods applied to analyze physiological time signals: human balance control as an example

Abstract Physiological processes are regulated by nonlinear dynamical systems. Various nonlinear measures have frequently been used for characterizing the complexity of fractal time signals to detect system features that cannot be derived from linear analyses. We analysed human balance dynamics rang...

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Autores principales:	Wolfram Müller, Alexander Jung, Helmut Ahammer
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/dccfffcc106c4f7196d44b377d60cb61
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spelling	oai:doaj.org-article:dccfffcc106c4f7196d44b377d60cb612021-12-02T16:06:50ZAdvantages and problems of nonlinear methods applied to analyze physiological time signals: human balance control as an example10.1038/s41598-017-02665-52045-2322https://doaj.org/article/dccfffcc106c4f7196d44b377d60cb612017-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-02665-5https://doaj.org/toc/2045-2322Abstract Physiological processes are regulated by nonlinear dynamical systems. Various nonlinear measures have frequently been used for characterizing the complexity of fractal time signals to detect system features that cannot be derived from linear analyses. We analysed human balance dynamics ranging from simple standing to balancing on one foot with closed eyes to study the inherent methodological problems when applying fractal dimension analysis to real-world signals. Higuchi dimension was used as an example. Choice of measurement and analysis parameters has a distinct influence on the computed dimension. Noise increases the fractional dimension which may be misinterpreted as a higher complexity of the signal. Publications without specifying the parameter setting, or without analysing the noise-sensitivity are not comparable to findings of others and therefore of limited scientific value.Wolfram MüllerAlexander JungHelmut AhammerNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Wolfram Müller Alexander Jung Helmut Ahammer Advantages and problems of nonlinear methods applied to analyze physiological time signals: human balance control as an example
description	Abstract Physiological processes are regulated by nonlinear dynamical systems. Various nonlinear measures have frequently been used for characterizing the complexity of fractal time signals to detect system features that cannot be derived from linear analyses. We analysed human balance dynamics ranging from simple standing to balancing on one foot with closed eyes to study the inherent methodological problems when applying fractal dimension analysis to real-world signals. Higuchi dimension was used as an example. Choice of measurement and analysis parameters has a distinct influence on the computed dimension. Noise increases the fractional dimension which may be misinterpreted as a higher complexity of the signal. Publications without specifying the parameter setting, or without analysing the noise-sensitivity are not comparable to findings of others and therefore of limited scientific value.
format	article
author	Wolfram Müller Alexander Jung Helmut Ahammer
author_facet	Wolfram Müller Alexander Jung Helmut Ahammer
author_sort	Wolfram Müller
title	Advantages and problems of nonlinear methods applied to analyze physiological time signals: human balance control as an example
title_short	Advantages and problems of nonlinear methods applied to analyze physiological time signals: human balance control as an example
title_full	Advantages and problems of nonlinear methods applied to analyze physiological time signals: human balance control as an example
title_fullStr	Advantages and problems of nonlinear methods applied to analyze physiological time signals: human balance control as an example
title_full_unstemmed	Advantages and problems of nonlinear methods applied to analyze physiological time signals: human balance control as an example
title_sort	advantages and problems of nonlinear methods applied to analyze physiological time signals: human balance control as an example
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/dccfffcc106c4f7196d44b377d60cb61
work_keys_str_mv	AT wolframmuller advantagesandproblemsofnonlinearmethodsappliedtoanalyzephysiologicaltimesignalshumanbalancecontrolasanexample AT alexanderjung advantagesandproblemsofnonlinearmethodsappliedtoanalyzephysiologicaltimesignalshumanbalancecontrolasanexample AT helmutahammer advantagesandproblemsofnonlinearmethodsappliedtoanalyzephysiologicaltimesignalshumanbalancecontrolasanexample
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Advantages and problems of nonlinear methods applied to analyze physiological time signals: human balance control as an example

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