期刊
JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY
卷 20, 期 3, 页码 542-549出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jelekin.2009.07.007
关键词
EMGdi; ECG; Wavelet; Adaptive filter
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据