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Nonlinear Analysis of Physiological Time Series

  • Anisoara Paraschiv-Ionescu
  • Kamiar Aminian
Chapter

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.

Keywords

Lyapunov Exponent Chronic Fatigue Syndrome Surrogate Data Detrended Fluctuation Analysis Original Time Series 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  1. 1.Laboratory of Movement Analysis and MeasurementEcole Polytechnique Federale de Lausanne (EPFL)Switzerland

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