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Nonlinear Analysis of Physiological Data

  • Conference proceedings
  • © 1998

Overview

Editors:
  1. H. Kantz

    1. Max-Planck-Institut für Physik Komplexer Systeme, Dresden, Germany

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  2. J. Kurths

    1. Arbeitsgruppe „Nichtlineare Dynamik“, Universität Potsdam, Potsdam, Germany

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  3. G. Mayer-Kress

    1. Ross Institute, East Hampton, USA

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  • Nonlinear methods to analyze predical data and their implementation in computer-aided diagnostics are very new but of growing importance despite their inherent complexity.

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Table of contents (19 papers)

  1. Front Matter

    Pages I-VIII
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  2. Introduction

    1. Introduction

      • Holger Kantz, Jürgen Kurths
      Pages 1-4

  3. Directions in Nonlinear Data Analysis

    1. Front Matter

      Pages 5-5
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    2. Processing of Physiological Data

      • Thomas Schreiber
      Pages 7-21

    3. Problems in the Reconstruction of High-dimensional Deterministic Dynamics from Time Series

      • Rainer Hegger, Holger Kantz, Eckehard Olbrich
      Pages 23-47

    4. Chaotic Measures and Real-World Systems

      • Milan Paluš
      Pages 49-66

    5. Ranking and Entropy Estimation in Nonlinear Time Series Analysis

      • Bernd Pompe
      Pages 67-90

    6. Analysing Synchronization Phenomena from Bivariate Data by Means of the Hilbert Transform

      • Michael Rosenblum, Jürgen Kurths
      Pages 91-99

    7. Analyzing Spatio-Temporal Patterns of Complex Systems

      • R. Friedrich, V. K. Jirsa, H. Haken, C. Uhl
      Pages 101-114

  4. Cardio-Repiratory System

    1. Front Matter

      Pages 115-115
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    2. Are R-R-Intervals Data Appropriate to Study the Dynamics of Heart?

      • Alexei Potapov
      Pages 117-127

    3. New Nonlinear Algorithms for Analysis of Heart Rate Variability: Low-Dimensional Chaos Predicts Lethal Arrhythmias

      • James E. Skinner, Jan J. Żebrowski, Zbigniew J. Kowalik
      Pages 129-166

    4. Nonlinear Analysis of the Cardiorespiratory Coordination in a Newborn Piglet

      • Dirk Hoyer, Reinhard Bauer, Bernd Pompe, Milan Paluš, Jan J. Żebrowski, Michael Rosenblum et al.
      Pages 167-190

    5. Cardiorespiratory Synchronization

      • M. Schiek, F. R. Drepper, R. Engbert, H.-H. Abel, K. Suder
      Pages 191-209

  5. EEG Analysis

    1. Front Matter

      Pages 211-211
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    2. EEG Signal Analysis by Continuous Wavelet Transform Techniques

      • Marco Ende, Alfred K. Louis, Peter Maass, Gottfried Mayer-Kress
      Pages 213-219

    3. Relativity of Dynamical Measures in Study of the Human Brain

      • Zbigniew J. Kowalik, Thomas Elbert, Larry E. Roberts, Manfried Hoke
      Pages 221-228

    4. Classification of EEG Signals From a Music Perception Experiment Using Empirical Dynamical Models

      • Michael Kremliovsky, James Kadtke
      Pages 229-247

  6. Perception and Motor Control

    1. Front Matter

      Pages 249-249
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    2. Nonlinear Analysis of Perceptual-Motor Coupling in the Development of Postural Control

      • Steven M. Boker, Thomas Schreiber, Bernd Pompe, Bennett I. Bertenthal
      Pages 251-269
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Keywords

About this book

This book is more than a standard proceedings volume, although it is an almost direct result of the workshop on "Nonlinear Analysis of Physiologi­ cal Time Series" held in Freital near Dresden, Germany, in October 1995. The idea of the meeting was, as for previous meetings devoted to related topics, such as the conference on dynamical diseases held near Montreal in February 1994 (see CHAOS Vol. 5(1), 1995), to bring together experts on the techniques of nonlinear analysis and the theory of chaos and applicants from the most fascinating field where such methods could potentially be useful: the life sciences. The former group consisted mainly of physicists and mathe­ maticians, the latter was represented by physiologists and medical researchers and practitioners. Many aspects of this workshop were unusual and not previously expe­ rienced. Also, the hosting institution, the Max Planck Institute for Physics of Complex Systems (MPIPKS), at this time was brand new. The organiz­ ers' rather unconventional intention was to bring specialists of both groups together to really work together. Therefore, there was an excessive availabil­ ity of computers and the possibility to numerically study time series data sets practitioners had supplied from their own fields, e. g. electrocardiogram (ECG) data, electroencephalogram (EEG) data, data from the respiratory system, from human voice, human posture control, and several others. These data formed a much stronger link between theoreticians and applicants than any of the common ideas.

Editors and Affiliations

  • Max-Planck-Institut für Physik Komplexer Systeme, Dresden, Germany

    H. Kantz

  • Arbeitsgruppe „Nichtlineare Dynamik“, Universität Potsdam, Potsdam, Germany

    J. Kurths

  • Ross Institute, East Hampton, USA

    G. Mayer-Kress

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