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

Authors :
Flexer, Arthur
Bauer, Herbert
Pripfl, Jürgen
Dorffner, Georg
Source :
Neural Networks. Sep2005, Vol. 18 Issue 7, p998-1005. 8p.
Publication Year :
2005

Abstract

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. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
08936080
Volume :
18
Issue :
7
Database :
Academic Search Index
Journal :
Neural Networks
Publication Type :
Academic Journal
Accession number :
18300653
Full Text :
https://doi.org/10.1016/j.neunet.2005.03.012