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Nonlinear Analysis of Physiological Time Series

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Advanced Biosignal Processing

Abstract

Biological systems and processes are inherently complex, nonlinear and nonstationary, and that is why nonlinear time series analysis has emerged as a novel methodology over the past few decades. The aim of this chapter is to provide a review of main approaches of nonlinear analysis (fractal analysis, chaos theory, complexity measures) in physiological research, from system modeling to methodological analysis and clinical applications.

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  1. Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland

    Anisoara Paraschiv-Ionescu & Kamiar Aminian

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  1. Anisoara Paraschiv-Ionescu
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  2. Kamiar Aminian
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Correspondence to Anisoara Paraschiv-Ionescu .

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  1. Labo. Images, Signaux et, Systèmes Intelligents (LISSI) EA 3956, Université Paris 12, av. du Général de Gaille 61, Créteil, 94010, France

    Amine Naït-Ali

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Paraschiv-Ionescu, A., Aminian, K. (2009). Nonlinear Analysis of Physiological Time Series. In: Naït-Ali, A. (eds) Advanced Biosignal Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89506-0_15

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