Comparison of ICA algorithms for the isolation of biological artifacts in magnetoencephalography

Authors:
Heriberto Zavala-Fernández;Tilmann H. Sander;Martin Burghoff;Reinhold Orglmeister;Lutz Trahms
Affiliations:
Institut für Elektronik, Technische Universität Berlin, Berlin, Germany;Physikalisch-Technische Bundesanstalt, Berlin, Germany;Physikalisch-Technische Bundesanstalt, Berlin, Germany;Institut für Elektronik, Technische Universität Berlin, Berlin, Germany;Physikalisch-Technische Bundesanstalt, Berlin, Germany
Venue:
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Year:
2006

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Abstract

The application of Independent Component Analysis (ICA) to achieve blind source separation is now an accepted technique in the field of biosignal processing. The reduction of biological artifacts in magneto- and electroencephalographic recordings is a frequent goal. Four of the most common ICA methods, extended Infomax, FastICA, JADE, and SOBI are compared here with respect to their ability to isolate magneto-encephalographic (MEG) artifacts. The four algorithms are applied to the same data set containing heart beat and eye movement artifacts. For a quantification of the result simple spatial and temporal correlation measures are suggested and the usage of reference signals. Of the four algorithms only JADE was marginally less successful.