Removal of Ocular Artifact from EEG Using Constrained ICA

被引：3
|
作者：
Huang, Lu [1 ]
Wang, Hong
Wang, Yu [1 ]
机构：
[1] Northeastern Univ, Sino Dutch Biomed & Informat Engn Sch, Shenyang 110819, Peoples R China
来源：
MECHATRONICS AND INFORMATION TECHNOLOGY, PTS 1 AND 2 | 2012年 / 2-3卷
关键词：
Blind source separation (BSS); constrained independent component analysis (CICA); Electroencephalogram (EEG); Artifact removal; Reference signal; INDEPENDENT COMPONENT ANALYSIS;
D O I：
10.4028/www.scientific.net/AEF.2-3.105
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Ocular artifacts are the most important form of interferences in EEG signals. Before analyzed, EEG signals should be pretreated by removal of ocular artifacts. CICA is an excellent approach to separate the desired source signals. But, the choice of reference signals is crucial. In this paper, we adopted CICA to separate ocular artifact from EEG, using a different method from Lu to build the reference signals, which can avoid the subjectivity during the operation. It was proved to be effective.
引用
收藏
页码：105 / 110
页数：6
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