MUSCLE NOISE FILTERING IN ECG SIGNAL
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F15%3APU122037" target="_blank" >RIV/00216305:26220/15:PU122037 - isvavai.cz</a>
Result on the web
<a href="http://eeict.feec.vutbr.cz/" target="_blank" >http://eeict.feec.vutbr.cz/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
čeština
Original language name
MUSCLE NOISE FILTERING IN ECG SIGNAL
Original language description
This work deals with muscle noise filtering in ECG signals using wiener filtration and optimization of Wiener filter numerical parameters. The optimization was performed by using the exhaustive search method, which belongs to the brute force methods and seeks the global solution. The Criterial function in the optimization process was the average SNR of filtered signals. The testing was performed on 20 random signals from the CSE database. The testing has shown that the greatest difference between the input SNR and the average output SNR was at the minimum input SNR.
Czech name
MUSCLE NOISE FILTERING IN ECG SIGNAL
Czech description
This work deals with muscle noise filtering in ECG signals using wiener filtration and optimization of Wiener filter numerical parameters. The optimization was performed by using the exhaustive search method, which belongs to the brute force methods and seeks the global solution. The Criterial function in the optimization process was the average SNR of filtered signals. The testing was performed on 20 random signals from the CSE database. The testing has shown that the greatest difference between the input SNR and the average output SNR was at the minimum input SNR.
Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
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 the 21st Conference STUDENT EEICT 2015
ISBN
978-80-214-5148-3
ISSN
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e-ISSN
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Number of pages
3
Pages from-to
261-263
Publisher name
Neuveden
Place of publication
Brno
Event location
Brno
Event date
Apr 23, 2015
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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