Detail publikace

Wavelet-Based Wiener Filter for Electrocardiogram Signal Denoising

CHMELKA, L. KOZUMPLÍK, J.

Originální název

Wavelet-Based Wiener Filter for Electrocardiogram Signal Denoising

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Wiener wavelet filtering, ECG signals

Autoři

CHMELKA, L.; KOZUMPLÍK, J.

Rok RIV

2005

Vydáno

28. 9. 2005

Nakladatel

IEEE

Místo

Lyon, Francie

ISBN

0-7803-9337-6

Kniha

Computers in Cardiology

Strany od

771

Strany do

774

Strany počet

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"
}