A wavelet-based adaptive filter for removing ECG interference in EMGdi signals

被引：37

作者：

Zhan, Choujun ^{[1
]}

Yeung, Lam Fat ^{[1
]}

Yang, Zhi ^{[2
]}

机构：

[1] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China

[2] Sun Yat Sen Univ, Dept Elect & Commun Engn, Sch Informat Sci & Technol, Guangzhou 510275, Guangdong, Peoples R China

来源：

JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY | 2010年 / 20卷 / 03期

关键词：

EMGdi; ECG; Wavelet; Adaptive filter; DIAPHRAGMATIC EMG; CONTAMINATION; CANCELLATION;

D O I：

10.1016/j.jelekin.2009.07.007

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

Diaphragmatic electromyogram (EMGdi) signals convey important information on respiratory diseases. In this paper, an adaptive filter for removing the electrocardiographic (ECG) interference in EMGdi signals based on wavelet theory is proposed. Power spectrum analysis was performed to evaluate the proposed method. Simulation results show that the power spectral density (PSD) of the extracted EMGdi signal from an ECG corrupted signal is within 1.92% average error relative to the original EMGdi signal. Testing on clinical EMGdi data confirm that this method is also efficient in removing ECG artifacts from the corrupted clinical EMGdi signal. Crown Copyright (C) 2009 Published by Elsevier Ltd. All rights reserved.

引用

页码：542 / 549

页数：8

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