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J Electromyogr Kinesiol · Jun 2010
A wavelet-based adaptive filter for removing ECG interference in EMGdi signals.
- Choujun Zhan, Lam Fat Yeung, and Zhi Yang.
- Department of Electronic Engineering, City University of Hong Kong, Hong Kong, China. zchoujun2@student.cityu.edu.hk
- J Electromyogr Kinesiol. 2010 Jun 1; 20 (3): 542-9.
AbstractDiaphragmatic 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.(c) 2009. Published by Elsevier Ltd. All rights reserved.
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