Literature DB >> 15990276

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

Arthur Flexer1, Herbert Bauer, Jürgen Pripfl, Georg Dorffner.   

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.

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Year:  2005        PMID: 15990276     DOI: 10.1016/j.neunet.2005.03.012

Source DB:  PubMed          Journal:  Neural Netw        ISSN: 0893-6080


  9 in total

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8.  Automatic Artifact Removal from Electroencephalogram Data Based on A Priori Artifact Information.

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  9 in total

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