Optimization of the Wavelet Wiener Filtering for ECG Signals

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU94046" target="_blank" >RIV/00216305:26220/11:PU94046 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Optimization of the Wavelet Wiener Filtering for ECG Signals
Original language description
This paper deals with the methods of ECG signals denoising via wavelet Wiener filtering. We have studied the influence of the input parameters setting on filtered signals in a consideration of achieved signal to noise ratio (SNR). The Wiener filtering isused in the shift invariant dyadic discrete time wavelet domain for suppression of a parasite electromyographic (EMG) signal. To improve the filtering performance we used the adaptive adjustment of the method parameters, according to the level of the input noise. We are able to increase the average SNR of the whole tested database almost about 10 dB. The proposed algorithm provides better results, than a classic wavelet Wiener filtering method. The algorithm was tested on signals from the standard multilead CSE database.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
ACM digital library: 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
ISBN
978-1-4503-0913-4
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
1-5
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Barcelona
Event date
Oct 26, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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