ICA 2007

ICA 2007
7th International Conference on
Independent Component Analysis
and Signal Separation

London, UK        9 - 12 September 2007

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Paper No: 159

Space-Time ICA and EM Brain Signals

Author(s): Mike Davies, Christopher James, Suogang Wang

Abstract

Recently a Single Channel ICA approach based upon Multi-dimensional Independent Component Analysis (MICA) has also 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).

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