title: [Research of removing artifacts in EEG based on ICA arithmetic].
abstract: This paper introduces the basic theory and arithmetic of Independent Component Analysis which is a novel technology developed for Blind Source Separation. The Fast ICA arithmetic is applied as an example in analysis and separation of artifacts in clinical multiple channel EEG. The experiment results testify that by using ICA method artifacts in EEG such as EOG and power line interference can be separated and removed effectively.
authors.affiliation: Lab of Biomedical Engineering, PLA General Hospital, Beijing, 100853. yingjun301@sina.com
authors.forename: Ying
authors.initials: Y
authors.lastname: Jun
authors.forename: Chen
authors.initials: C
authors.lastname: Guangfei
authors.forename: He
authors.initials: H
authors.lastname: Shilin
mesh_terms: D000465:Algorithms; D016477:Artifacts; D004569:Electroencephalography / Q000379:methods*