About: Adaptive Wavelet Wiener Filtering of ECG Signals

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6357230&contentType=Journals+%26+Magazines&searchField%3DSearch_All%26queryText%3Dsmital
Description	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 t 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 t (en)
Title	Adaptive Wavelet Wiener Filtering of ECG Signals Adaptive Wavelet Wiener Filtering of ECG Signals (en)
skos:prefLabel	Adaptive Wavelet Wiener Filtering of ECG Signals Adaptive Wavelet Wiener Filtering of ECG Signals (en)
skos:notation	RIV/00216305:26220/13:PU102076!RIV14-GA0-26220___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(ED1.100/02/0123), P(GD102/09/H083), S
http://linked.open...iv/cisloPeriodika	2
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Vítek, Martin Provazník, Ivo Kozumplík, Jiří Smital, Lukáš
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	59502
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/13:PU102076
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Broadband myopotentials (EMG) noise, CSE database, ECG signal, Wiener filtering, wavelet transform (en)
http://linked.open.../riv/klicoveSlovo	Broadband myopotentials (EMG) noise CSE database wavelet transform ECG signal Wiener filtering
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[AE15CF38A258]
http://linked.open...i/riv/nazevZdroje	IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
http://linked.open...in/vavai/riv/obor	JA
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Information Technology in Biomedical Engineering St. Anne´s University Hospital Brno - International Clinical Research Center (FNUSA-ICRC)
http://linked.open...UplatneniVysledku	2013
http://linked.open...v/svazekPeriodika	60
http://linked.open...iv/tvurceVysledku	Provazník, Ivo Vítek, Martin Kozumplík, Jiří Smital, Lukáš
issn	0018-9294
number of pages	9 (xsd:int)
http://localhost/t...ganizacniJednotka	26220

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