Space-time ICA and EM brain signals

Authors:
Mike Davies;Christopher James;Suogang Wang
Affiliations:
IDCOM & Joint Research Institute for Signal and Image Processing, University of Edinburgh, Scotland, UK and Signal Processing and Control Group, ISVR, University of Southampton, UK;IDCOM & Joint Research Institute for Signal and Image Processing, University of Edinburgh, Scotland, UK and Signal Processing and Control Group, ISVR, University of Southampton, UK;IDCOM & Joint Research Institute for Signal and Image Processing, University of Edinburgh, Scotland, UK and Signal Processing and Control Group, ISVR, University of Southampton, UK
Venue:
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Year:
2007

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Abstract

Recently Single Channel ICA has been proposed where it can be shown that the algorithms learn temporal filters for separating the different components. Here we consider the natural extension to learning a set of space-time separating filters. We argue that these are capable of separation above and beyond that possible using only spatial or temporal methods alone. We then consider the potential of these ideas when applied to Ictal Electroencephalographic (EEG) data and Brain Computer Interaction (BCI).