Journal
BIOMEDIZINISCHE TECHNIK
Volume 51, Issue 5-6, Pages 281-287Publisher
WALTER DE GRUYTER & CO
DOI: 10.1515/BMT.2006.058
Keywords
directed transfer function; Granger causality; multivariate time series analysis; partial coherence; partial directed coherence
Categories
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available