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

Choujun Zhan; Lam Fat Yeung; Zhi Yang

doi:10.1016/j.jelekin.2009.07.007

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

J Electromyogr Kinesiol. 2010 Jun;20(3):542-9. doi: 10.1016/j.jelekin.2009.07.007. Epub 2009 Aug 18.

Authors

Choujun Zhan¹, Lam Fat Yeung, Zhi Yang

Affiliation

¹ Department of Electronic Engineering, City University of Hong Kong, Hong Kong, China. zchoujun2@student.cityu.edu.hk

PMID: 19692270
DOI: 10.1016/j.jelekin.2009.07.007

Abstract

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.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms*
Artifacts*
Diagnosis, Computer-Assisted / methods*
Electrocardiography / methods*
Electromyography / methods*
Humans
Reproducibility of Results
Sensitivity and Specificity
Signal Processing, Computer-Assisted*