Using ICA for removal of ocular artifacts in EEG recorded from blind subjects.
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.
Flexer
Arthur
A
The Austrian Research Institute for Artificial Intelligence, Freyung 6/6, A-1010 Vienna, Austria. arthur@oefai.at
Bauer
Herbert
H
Pripfl
Jürgen
J
Dorffner
Georg
G
D000465:Algorithms; D016477:Artifacts; D001766:Blindness / Q000503:physiopathology*; D002540:Cerebral Cortex / Q000502:physiology / Q000503:physiopathology; D004569:Electroencephalography / Q000379:methods*; D005133:Eye Movements; D006801:Humans; D016014:Linear Models; D016571:Neural Networks, Computer; D016011:Normal Distribution; D012815:Signal Processing, Computer-Assisted