Method of removing ECG artifacts from EEG based on ICA

被引：0

作者：

Li, XY ^{[1
]}

机构：

[1] SW Univ Sci & Technol China, Coll Comp Sci & Technol, Mianyang 621002, Peoples R China

来源：

ICEMI'2003: PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOLS 1-3 | 2003年

关键词：

EEG; ECG; ICA;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Independent Composition Analysis (ICA) is a new technique in signal processing to extract statistically independent components from an observed multidimensional mixture of signals. In this paper a fast fixed-point algorithm that is capable of separating complex values, linearly mixed source signal is proposed and Electrocardiogram (ECG) Artifacts shows its computational efficiency in removing Electrocardiogram Artifacts from electroencephalographic (EEG).

引用

页码：1900 / 1903

页数：4

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