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CHMELKA, L. KOZUMPLÍK, J.
Original Title
Wavelet-Based Wiener Filter for Electrocardiogram Signal Denoising
Type
conference paper
Language
English
Original 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 were used for pilot estimation. The four-levels shift-invariant dyadic Discrete-Time Wavelet Transform decomposition were used for both main blocks of pilot estimation and wiener filtering. Sampling frequency of used signals were~500\,Hz. The testing set have included signals with small Q, high R waves and big variation of precipitousness in onset and offset of QRS complexes. These signals were additionally noised by normal distribution noise which its power spectrum were adjusted according to typical form of power spectrum of EMG signals.
Keywords
Wiener wavelet filtering, ECG signals
Authors
CHMELKA, L.; KOZUMPLÍK, J.
RIV year
2005
Released
28. 9. 2005
Publisher
IEEE
Location
Lyon, Francie
ISBN
0-7803-9337-6
Book
Computers in Cardiology
Pages from
771
Pages to
774
Pages count
4
BibTex
@inproceedings{BUT15344, author="Lukáš {Chmelka} and Jiří {Kozumplík}", title="Wavelet-Based Wiener Filter for Electrocardiogram Signal Denoising", booktitle="Computers in Cardiology", year="2005", pages="771--774", publisher="IEEE", address="Lyon, Francie", isbn="0-7803-9337-6" }