Separation of electrocardiographic and encephalographic components based on signal averaging and wavelet shrinkage techniques

被引：7

作者：

Sakai, Motoki

Wei, Daming ^{[1
,2
]}

机构：

[1] Zhejiang Univ, Biomed Engn Sect, Hangzhou, Zhejiang, Peoples R China

[2] Tokyo Inst Technol, Tokyo, Japan

来源：

COMPUTERS IN BIOLOGY AND MEDICINE | 2009年 / 39卷 / 07期

关键词：

Electroencephalogram (EEG); Electrocardiogram (ECG); Noncephalic reference electrode; Signal averaging; Wavelet shrinkage; ECG ARTIFACTS; EEG; ELIMINATION;

D O I：

10.1016/j.compbiomed.2009.04.009

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

During ambulatory monitoring, it is often required to record the electroencephalogram (EEC) and the electrocardiogram (ECG) simultaneously. It would be ideal if both EEG and ECG can be obtained with one measurement. We introduce an algorithm combining the wavelet shrinkage and signal averaging techniques to extract the EEG and ECG components from an EEG lead signal to a noncephalic reference (NCR). The evaluation using simulation data and measured data showed that the normalized power spectrum unvaried in all frequency bands for the EEG components, and the sensitivity and specificity of R-wave detection for the ECG component were nearly 100%. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：620 / 629

页数：10

共 11 条

[1] Cardiac field effects on the EEG [J].