ECG Signal Denoising Using Wavelet Wiener Filtering
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F10%3APU88542" target="_blank" >RIV/00216305:26220/10:PU88542 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
ECG Signal Denoising Using Wavelet Wiener Filtering
Original language description
The paper deals with the methods of ECG signals denoising via wavelet transform. We focus on the WienerShrink method. We have studied influence of input parameters setting on the filtered signal in consideration of achieved signal-to-noise ratio (SNR) and output signal distortion. The algorithm was implemented in MATLAB and tested on signals from CSE database.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
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
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of Biosignal 2010: Analysis of Biomedical Signals and Images
ISBN
978-80-214-4106-4
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
UBMI FEKT VUT v Brně
Place of publication
Brno
Event location
Brno
Event date
Jun 27, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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