Publication detail

Adaptive Wavelet Wiener Filtering of ECG Signals

SMITAL, L. VÍTEK, M. KOZUMPLÍK, J. PROVAZNÍK, I.

Original Title

Adaptive Wavelet Wiener Filtering of ECG Signals

Type

journal article - other

Language

English

Original Abstract

In this study, we focused on the reduction of broadband myopotentials (EMG) in ECG signals using the wavelet Wiener filtering with noise-free signal estimation. We used the dyadic stationary wavelet transform (SWT) in the Wiener filter as well as in estimating the noise-free signal. Our goal was to find a suitable filter bank and to choose other parameters of the Wiener filter with respect to the signal-to-noise ratio (SNR) obtained. Testing was performed on artificially noised signals from the standard CSE database sampled at 500 Hz. When creating an artificial interference, we started from the generated white Gaussian noise, whose power spectrum was modified according to a model of the power spectrum of an EMG signal. To improve the filtering performance, we used adaptive setting parameters of filtering according to the level of interference in the input signal. We were able to increase the average SNR of the whole test database by about 10.6 dB. The proposed algorithm provides better results than the classic wavelet Wiener filter.

Keywords

Broadband myopotentials (EMG) noise, CSE database, ECG signal, Wiener filtering, wavelet transform

Authors

SMITAL, L.; VÍTEK, M.; KOZUMPLÍK, J.; PROVAZNÍK, I.

RIV year

2013

Released

1. 2. 2013

ISBN

0018-9294

Periodical

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Year of study

60

Number

2

State

United States of America

Pages from

437

Pages to

445

Pages count

9

URL

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6357230&contentType=Journals+%26+Magazines&searchField%3DSearch_All%26queryText%3Dsmital

BibTex

@article{BUT97333,
  author="Lukáš {Smital} and Martin {Vítek} and Jiří {Kozumplík} and Valentine {Provazník}",
  title="Adaptive Wavelet Wiener Filtering of ECG Signals",
  journal="IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING",
  year="2013",
  volume="60",
  number="2",
  pages="437--445",
  issn="0018-9294",
  url="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6357230&contentType=Journals+%26+Magazines&searchField%3DSearch_All%26queryText%3Dsmital"
}