Publication result detail

Wavelet-Based Wiener Filter for Electrocardiogram Signal Denoising

CHMELKA, L.; KOZUMPLÍK, J.

Original Title

Wavelet-Based Wiener Filter for Electrocardiogram Signal Denoising

English Title

Wavelet-Based Wiener Filter for Electrocardiogram Signal Denoising

Type

Paper in proceedings (conference paper)

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.

English 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

Key words in English

Wiener wavelet filtering, ECG signals

Authors

CHMELKA, L.; KOZUMPLÍK, J.

Released

28.09.2005

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"
}