Detection of directed information flow in biosignals

Matthias Winterhalder, Bjoern Schelter, Wolfram Hesse, Karin Schwab, Lutz Leistritz, Jens Timmer, Herbert Witte

Research output: Contribution to journalArticle

15 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)281-287
Number of pages7
JournalBiomedizinische Technik
Volume51
Issue number5-6
DOIs
Publication statusPublished - 2006

Cite this

Winterhalder, M., Schelter, B., Hesse, W., Schwab, K., Leistritz, L., Timmer, J., & Witte, H. (2006). Detection of directed information flow in biosignals. Biomedizinische Technik, 51(5-6), 281-287. https://doi.org/10.1515/BMT.2006.058