Independent component analysis for identification and minimization of EOG artifacts in EEG recordings

Jooman Han Jooman Han,Kwang Suk Park Kwang Suk Park

doi:10.1109/iembs.1999.802506

Independent component analysis for identification and minimization of EOG artifacts in EEG recordings

Jooman Han Jooman Han, Kwang Suk Park Kwang Suk Park

https://doi.org/10.1109/iembs.1999.802506

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Publication Date: Oct 13, 1999

Citations: 3

Affiliation: Biological E (India), Seoul National University

#Minimization Of Artifacts #Electrooculogram + Show 8 more

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Abstract

The authors have studied the application of an independent component analysis (ICA) approach to the identification and minimization of artifacts, particularly electrooculogram (EOG) in electroencephalographic recordings. A component highly correlated with EOG was extracted only from 2 channels of EEG by using ICA. The results show the capability of the method to identify and clearly isolate the produced artifact, EOG from EEG recordings.

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