Title :
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
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;
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
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.802506
