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

Author

Han, Jooman ; Park, Kwang Suk

Author_Institution

Seoul Nat. Univ., South Korea

Volume

1

fYear

1999

fDate

1999

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

Keywords

bioelectric potentials; electroencephalography; eye; medical signal processing; EEG recordings; EOG artifacts identification; EOG artifacts minimization; electrodiagnostics; independent component analysis; Adaptive signal processing; Biomedical engineering; Brain; Educational institutions; Electroencephalography; Electronic mail; Electrooculography; Engineering in medicine and biology; Independent component analysis; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint

Conference_Location

Atlanta, GA

ISSN

1094-687X

Print_ISBN

0-7803-5674-8

Type

conf

DOI

10.1109/IEMBS.1999.802506

Filename

802506