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Detection of directed information flow in biosignals

  • Matthias Winterhalder , Björn Schelter , Wolfram Hesse , Karin Schwab , Lutz Leistritz , Jens Timmer and Herbert Witte
Published/Copyright: December 7, 2006
Biomedical Engineering / Biomedizinische Technik
From the journal Volume 51 Issue 5_6

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.


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

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Published Online: 2006-12-07
Published in Print: 2006-12-01

©2006 by Walter de Gruyter Berlin New York

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