Removal of Artifacts in Electroencephalogram Using Adaptive Infomax Algorithm of Blind Source Separation

被引：0
|
作者：
Guo, Wanyou [1 ]
Huang, Liyu [1 ]
Gao, Li [1 ]
Zhu, Tianqiao [1 ]
Huang, Yuangui [2 ]
机构：
[1] Xidian Univ, Dept Biomed Engn, Xian 710071, Peoples R China
[2] Fourth Mil Med Univ, Xijing Hosp, Xian 710032, Peoples R China
来源：
ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS: WITH ASPECTS OF ARTIFICIAL INTELLIGENCE | 2008年 / 5227卷
基金：
中国国家自然科学基金;
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Infomax algorithm is one of the main strategies in blind source separation. The principle and improvement of the algorithm are introduced firstly in this paper. Nineteen-channel Electroencephalograms (EEGs) which include electromyogram, eye-movement and some other artifacts were decomposed by using this algorithm. Afterwards, three kinds of nonlinear parameters were calculated for all the independent components, and artifact components can be identified automatically by threshold settings. Finally, putting all the artifact components into zero, and projecting the other components to the scalp electrodes, then the purer Electroencephalograms can be gained. The study shows that the various artifacts can be separated from the EEGs successfully with the use of adaptive Infomax algorithm and removal of artifacts can be realized by signal reconstruction. Adaptive Infomax algorithm is a potential tool in removal of artifacts in physiological signal.
引用
收藏
页码：717 / +
页数：2
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