From principal to independent component analysis of brain signals

被引：1
作者：
Vigário, RN [1 ]
机构：
[1] GMD FIRST, D-12489 Berlin, Germany
来源：
PROCEEDINGS OF THE 23RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4: BUILDING NEW BRIDGES AT THE FRONTIERS OF ENGINEERING AND MEDICINE | 2001年 / 23卷
关键词：
principal component analysis (PCA); independent component analysis (ICA); electroencephalography (EEG); magnetoencephalography (MEG); artifact removal; event related potentials and fields (ERP; EF);
D O I：
10.1109/IEMBS.2001.1020615
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
The purpose of this paper is to introduce the attendee/reader of the special session on component analysis and brain signal to, or refresh the concepts of the classical principal component analysis (PCA) and the more recent independent component analysis (ICA). Some motivations for their use in the context of electromagnetic brain signal processing are given. An illustrative example in event related studies is as well provided.
引用
收藏
页码：1970 / 1973
页数：4
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