Using ICA for removal of ocular artifacts in EEG recorded from blind subjects

Authors:
Arthur Flexer;Herbert Bauer;Jürgen Pripfl;Georg Dorffner
Affiliations:
The Austrian Research Institute for Artificial Intelligence, Freyung 6/6, A-1010 Vienna, Austria and Department of Medical Cybernetics and Artificial Intelligence, Center for Brain Research, Medic ...;Department of Psychology, University of Vienna, Liebiggasse 5, A-1010 Vienna, Austria;Department of Psychology, University of Vienna, Liebiggasse 5, A-1010 Vienna, Austria;The Austrian Research Institute for Artificial Intelligence, Freyung 6/6, A-1010 Vienna, Austria and Department of Medical Cybernetics and Artificial Intelligence, Center for Brain Research, Medic ...
Venue:
Neural Networks
Year:
2005

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Abstract

One of the standard applications of Independent Component Analysis (ICA) to EEG is removal of artifacts due to movements of the eye bulbs. Short blinks as well as slower saccadic movements are removed by subtracting respective independent components (ICs). EEG recorded from blind subjects poses special problems, since it shows a higher quantity of eye movements, which are also more irregular and very different across subjects. It is demonstrated that ICA can still be of use by comparing results from four blind subjects with results from one subject without eye bulbs who therefore does not show eye movement artifacts at all.