DocumentCode :
3177191
Title :
Wavelet-basedwiener filter for electrocardiogram signal denoising
Author :
Chmelka, L. ; Kozumplík, J.
Author_Institution :
Dept. of Biomed. Eng., Brno Univ. of Technol.
fYear :
2005
fDate :
25-28 Sept. 2005
Firstpage :
771
Lastpage :
774
Abstract :
The aim of this study is suppression of parasite electromyographic (EMG) signals (myopotentials) included in ECG signals with use of the Wiener filtering in shift-invariant wavelet domain with pilot estimation of the signal. The wavelet filtering with hybrid thresholding was used for pilot estimation. The four-levels shift-invariant dyadic discrete-time wavelet transform decomposition was used for both main blocks of pilot estimation and Wiener filtering. Sampling frequency of used signals was 500 Hz. The testing set have included signals with small waves Q, high R waves and significant variations of precipitousness in onsets and offsets of QRS complexes. These signals were additionally noised by normal distribution noise its power spectrum was adjusted according to typical form of power spectrum of EMG signals
Keywords :
Wiener filters; electrocardiography; electromyography; signal denoising; signal sampling; wavelet transforms; 500 Hz; EMG signal power spectrum; dyadic discrete-time wavelet transform decomposition; electrocardiogram signal denoising; hybrid thresholding; normal distribution noise; parasite electromyographic signal suppression; pilot signal estimation; shift-invariant wavelet domain; signal sampling; wavelet filtering; wavelet-based Wiener filter; Discrete wavelet transforms; Electrocardiography; Electromyography; Filtering; Frequency; Sampling methods; Signal denoising; Testing; Wavelet domain; Wiener filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers in Cardiology, 2005
Conference_Location :
Lyon
Print_ISBN :
0-7803-9337-6
Type :
conf
DOI :
10.1109/CIC.2005.1588218
Filename :
1588218
Link To Document :
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