An automatic analysis method for detecting and eliminating ECG artifacts in EEG

被引：62
|
作者：
Jiang, Joe-Air
Chao, Chih-Feng
Chiu, Ming-Jang
Lee, Ren-Guey [1 ]
Tseng, Chwan-Lu
Lin, Robert
机构：
[1] Natl Taipei Univ Technol, Dept Elect Engn, Taipei 10643, Taiwan
[2] Natl Taiwan Univ, Dept Bioind Mechatron Engn, Taipei 10764, Taiwan
[3] Natl Taiwan Univ Hosp, Dept Neurol, Taipei, Taiwan
来源：
COMPUTERS IN BIOLOGY AND MEDICINE | 2007年 / 37卷 / 11期
关键词：
EEG rhythms; ECG artifacts; wavelet basis selection criterion; wavelet transform;
D O I：
10.1016/j.compbiomed.2007.03.007
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
An automated method for detecting and eliminating electrocardiograph (ECG) artifacts from electroencephalography (EEG) without an additional synchronous ECG channel is proposed in this paper. Considering the properties of wavelet filters and the relationship between wavelet basis and characteristics of ECG artifacts, the concepts for selecting a suitable wavelet basis and scales used in the process are developed. The analysis via the selected basis is without suffering time shift for decomposition and detection/elimination procedures after wavelet transformation. The detection rates, above 97.5% for MlT/BIH and NTUH recordings, show a pretty good performance in ECG artifact detection and elimination. (C) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1660 / 1671
页数：12
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