ECG Beat Classification Using Feature Extraction from Wavelet Packets of R Wave Window
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00158541" target="_blank" >RIV/68407700:21230/09:00158541 - 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 Beat Classification Using Feature Extraction from Wavelet Packets of R Wave Window
Original language description
In this work we investigate the use of wavelet packets transform as a mean to extract features capable of providing the information needed by a classifier for discrimination between normal beats (N), premature ventricular (V), left bundle branch block beat 'L' and right bundle branch block beat 'R'. We have used our approach of feature extraction which is based on wavelet packets decomposition of window with QRS complex and on the method of wavelet packet tree node selection. This selection has been performed as finding of the path with maximum of relative entropy between current beat and template. We have used the MIT-BIH arrhythmia database for testing this approach. The database was divided into two subsets for training and testing the classifier. Results of the classification are evaluated by the sensitivity (Se), specificity (Sp) and overall accuracy. We obtained sensitivity 81,1%, 98,5%, specificity 95,1% and 97,5% overall accuracy for ventricular beat.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
<a href="/en/project/1ET201210527" target="_blank" >1ET201210527: Knowledge-based support of diagnostics and prediction in cardiology</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
ISBN
978-3-642-03897-6
ISSN
1680-0737
e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
Springer Science+Business Media
Place of publication
Berlin
Event location
Mnichov
Event date
Sep 7, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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