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Biomedical Engineering / Biomedizinische Technik

Joint Journal of the German Society for Biomedical Engineering in VDE and the Austrian and Swiss Societies for Biomedical Engineering and the German Society of Biomaterials

Editor-in-Chief: Dössel, Olaf

Editorial Board: Augat, Peter / Habibović, Pamela / Haueisen, Jens / Jahnen-Dechent, Wilhelm / Jockenhoevel, Stefan / Knaup-Gregori, Petra / Lenarz, Thomas / Leonhardt, Steffen / Plank, Gernot / Radermacher, Klaus M. / Schkommodau, Erik / Stieglitz, Thomas / Boenick, Ulrich / Jaramaz, Branislav / Kraft, Marc / Lenthe, Harry / Lo, Benny / Mainardi, Luca / Micera, Silvestro / Penzel, Thomas / Robitzki, Andrea A. / Schaeffter, Tobias / Snedeker, Jess G. / Sörnmo, Leif / Sugano, Nobuhiko / Werner, Jürgen /


IMPACT FACTOR 2018: 1.007
5-year IMPACT FACTOR: 1.390

CiteScore 2018: 1.24

SCImago Journal Rank (SJR) 2018: 0.282
Source Normalized Impact per Paper (SNIP) 2018: 0.831

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ISSN
1862-278X
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Volume 57 (2012)

Detection of directed information flow in biosignals

Matthias Winterhalder
  • Freiburg Center for Data Analysis and Modeling (FDM), University of Freiburg, Freiburg, Germany and Bernstein Center for Computational Neuroscience Freiburg, University of Freiburg, Freiburg, Germany
  • Other articles by this author:
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/ Björn Schelter
  • Freiburg Center for Data Analysis and Modeling (FDM), University of Freiburg, Freiburg, Germany and Bernstein Center for Computational Neuroscience Freiburg, University of Freiburg, Freiburg, Germany
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Wolfram Hesse
  • Institute of Medical Statistics, Computer Sciences and Documentation, University of Jena, Jena, Germany
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/ Karin Schwab
  • Institute of Medical Statistics, Computer Sciences and Documentation, University of Jena, Jena, Germany
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/ Lutz Leistritz
  • Institute of Medical Statistics, Computer Sciences and Documentation, University of Jena, Jena, Germany
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  • De Gruyter OnlineGoogle Scholar
/ Jens Timmer
  • Freiburg Center for Data Analysis and Modeling (FDM), University of Freiburg, Freiburg, Germany and Bernstein Center for Computational Neuroscience Freiburg, University of Freiburg, Freiburg, Germany
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Herbert Witte
  • Institute of Medical Statistics, Computer Sciences and Documentation, University of Jena, Jena, Germany
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Published Online: 2006-12-07 | DOI: https://doi.org/10.1515/BMT.2006.058

Abstract

Several analysis techniques have been developed for time series to detect interactions in multidimensional dynamic systems. When analyzing biosignals generated by unknown dynamic systems, awareness of the different concepts upon which these analysis techniques are based, as well as the particular aspects the methods focus on, is a basic requirement for drawing reliable conclusions. For this purpose, we compare four different techniques for linear time series analysis. In general, these techniques detect the presence of interactions, as well as the directions of information flow, in a multidimensional system. We review the different conceptual properties of partial coherence, a Granger causality index, directed transfer function, and partial directed coherence. The performance of these tools is demonstrated by application to linear dynamic systems.

Keywords: directed transfer function; Granger causality; multivariate time series analysis; partial coherence; partial directed coherence

About the article

Corresponding author: Matthias Winterhalder, Freiburg Center for Data Analysis and Modeling (FDM), University of Freiburg, Eckerstrasse 1, 79104 Freiburg, Germany Phone: +49-761-2037710 Fax: +49-761-2037700


Published Online: 2006-12-07

Published in Print: 2006-12-01


Citation Information: Biomedizinische Technik, Volume 51, Issue 5/6, Pages 281–287, ISSN (Online) 1862-278X, ISSN (Print) 0013-5585, DOI: https://doi.org/10.1515/BMT.2006.058.

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