A symmetric orthogonal FastICA algorithm and applications in EEG

doi:10.1109/ICNC.2009.482

	A symmetric orthogonal FastICA algorithm and applications in EEG
	Chen, Xuhui; Wang, Lei; Xu, Yong
	2009
会议名称	5th International Conference on Natural Computation, ICNC 2009
会议录名称	5th International Conference on Natural Computation, ICNC 2009
卷号	2
页码	504-508
会议日期	August 14, 2009 - August 16, 2009
会议地点	Tianjian, China
出版者	IEEE Computer Society
摘要	Extracting a number of independent components, FastICA algorithm can ensure that, each component extracted has never been extracted by adding orthogonalization steps. However, Gram-Schmidt orthogonal method implemented itself that estimation error of the first vector has been accumulated in the subsequent vectors. In this paper, the square root of the classical matrix method is used to achieve symmetric orthogonal that parallel to estimate the source of variables and avoid the Gram-Schmidt orthogonal method of estimation error accumulation problem. The symmetric orthogonal FastICA algorithm is apply in removal EEG artifacts (including eye movement, blinking, ECG, EMG, etc). The experiment and simulation results demonstrate that the symmetry orthogonal FastICA algorithm removes the artifacts and has a better separation efficiency and fast convergence. © 2009 IEEE.
关键词	Estimation errors Fast convergence FastICA algorithms Independent components Matrix methods Orthogonal method Orthogonalization Separation efficiency
DOI	10.1109/ICNC.2009.482
收录类别	EI
语种	英语
EI入藏号	20101512843676
EI主题词	Eye movements
来源库	Compendex
分类代码	461.1 Biomedical Engineering - 461.6 Medicine and Pharmacology - 723 Computer Software, Data Handling and Applications - 723.1 Computer Programming - 921 Mathematics - 921.6 Numerical Methods
引用统计	无
文献类型	会议论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/116368
专题	实验室建设与管理处
作者单位	School of Computer Science and Communication, Lanzhou University of Technology, Lanzhou 730050, China
第一作者单位	兰州理工大学
推荐引用方式 GB/T 7714	Chen, Xuhui,Wang, Lei,Xu, Yong. A symmetric orthogonal FastICA algorithm and applications in EEG[C]:IEEE Computer Society,2009:504-508.