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Symbolic Coupling Traces for Coupling Analyses of Medical Time Series

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Bildverarbeitung für die Medizin 2012

Part of the book series: Informatik aktuell ((INFORMAT))

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Abstract

Directional coupling analysis of bivariate time series is an important subject of current research. In this contribution, a method based on symbolic dynamics for the detection of time-delayed coupling is reviewed. The symbolic coupling traces, defined as the symmetric and diametric traces of the bivariate word distribution, are applied to model systems and cardiological data as well as sleep data showing its advantages especially for nonstationary data.

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References

  1. Voss A, Kurths J, Kleiner HJ, et al. improved analysis of heart rate variability by methods of non-linear dynamics. J Electrocardiol. 1995; p. 81–8.

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  2. Wessel N, Suhrbier A, Riedl M, et al. Detection of time-delayed interactions in biosignals using symbolic coupling traces. EPL. 2009; p. 10004.

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  4. Penzel T, Riedl M, Gapelyuk A, et al. Effect of CPAP therapy on daytime cardiovascular regulations in patients with obstructive sleep apnea. Comput Biol Med. 2012; p. in press.

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Author information

Authors and Affiliations

  1. Department of Physics, Humboldt-Universität zu Berlin, Berlin, Deutschland

    Niels Wessel, Maik Riedl & Jürgen Kurths

  2. Institute of Biomedical Engineering, Dresden University of Technology, Dresden, Deutschland

    Hagen Malberg

  3. Sleep Center, Charité Universitätsmedizin, Berlin, Deutschland

    Thomas Penzel

  4. Potsdam Institute for Climate Impact Research, Potsdam, Deutschland

    Jürgen Kurths

  5. Institute for Complex Systems and Mathematical Biology, University of Aberdeen, Aberdeen, UK

    Jürgen Kurths

Authors
  1. Niels Wessel
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  2. Maik Riedl
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  3. Hagen Malberg
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  4. Thomas Penzel
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  5. Jürgen Kurths
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Corresponding author

Correspondence to Niels Wessel .

Editor information

Editors and Affiliations

  1. Charité Campus Benjamin Franklin, Inst. Medizinische Informatik,, Universitätsklinikum Berlin, Hindenburgdamm 30, Berlin, 12200, Berlin, Germany

    Thomas Tolxdorff

  2. Inst. Medizinische Informatik, RWTH Aachen, Pauwelsstr. 30, Aachen, 52074, Germany

    Thomas Martin Deserno

  3. , Institut für Medizinische Informatik, Universität zu Lübeck, Ratzeburger Allee 160, Lübeck, 23562, Germany

    Heinz Handels

  4. Abt. Med./Biol.Inform./H0100, Deutsches Krebsforschungzentrum (DKFZ), Im Neuenheimer Feld 280, Heidelberg, 69120, Germany

    Hans-Peter Meinzer

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© 2012 Springer-Verlag Berlin Heidelberg

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Wessel, N., Riedl, M., Malberg, H., Penzel, T., Kurths, J. (2012). Symbolic Coupling Traces for Coupling Analyses of Medical Time Series. In: Tolxdorff, T., Deserno, T., Handels, H., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2012. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28502-8_14

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