title: Removal of the ocular artifacts from EEG data using a cascaded spatio-temporal processing.
abstract: Eye movements and blinks may produce unusual voltage changes in human electroencephalogram (EEG). These effects may spread across scalp and mask brain signals. In this paper, a cascaded spatio-temporal processing procedure (CAST) is presented to remove artifact electrooculogram (EOG). Firstly a discrete equivalent distributed source on the cortical surface is reconstructed from the contaminated scalp recordings by a linear minimum norm estimation (i.e. a spatial analysis step). Then, the equivalent sources of EOG are identified by principal component analysis (PCA) of the equivalent distributed source time series (i.e. a temporal analysis step). Finally, the EOG-corrected scalp EEG is reconstructed from the equivalent distributed source where EOG components have been removed. The effectiveness of CAST is confirmed by the application to actual scalp data and a detailed comparative study.
authors.affiliation: School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.
authors.forename: Tiejun
authors.initials: T
authors.lastname: Liu
authors.forename: Dezhong
authors.initials: D
authors.lastname: Yao
mesh_terms: D000328:Adult; D000465:Algorithms; D004569:Electroencephalography / Q000379:methods*; D004585:Electrooculography / Q000379:methods*; D005133:Eye Movements / Q000502:physiology; D005260:Female; D006801:Humans; D008297:Male; D025341:Principal Component Analysis; D012535:Scalp / Q000502:physiology