Journal
PROGRESS IN NATURAL SCIENCE-MATERIALS INTERNATIONAL
Volume 19, Issue 9, Pages 1165-1170Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.pnsc.2008.11.013
Keywords
Independent Component Analysis (ICA); Dipole model; Artifact; EEG
Funding
- Chinese State Scholarship Foundation [22837060]
- Natural Science Foundation of Shandong Province [Y2007G31]
- Canadian Institutes of Health Research [MOP 10189]
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In this study, we proposed and evaluated the use of Independent Component Analysis (ICA) combining the EEG dipole model to automatically remove eye movement artifacts from the EEG without needing EOG as a reference. We separated the EEG data into independent components using the ICA method, and determined the source localization of these independent components with a single dipole model. The EEG signal was reconstructed by automatically excluding those components localized within a preset eye model. EEGs from 12 patients were analyzed. The experimental results indicate that ICA with the dipole model is very efficient at automatically subtracting the eye movement artifacts, while retaining the EEG slow waves and making their interpretation easier. (C) 2009 National Natural Science Foundation of China and Chinese Academy of Sciences. Published by Elsevier Limited and Science in China Press. All rights reserved.
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