Beat Detection Enhancing Using AdaBoost
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00202138" target="_blank" >RIV/68407700:21230/13:00202138 - 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
Beat Detection Enhancing Using AdaBoost
Original language description
Beat detection is a basic and fundamental step in electrocardiogram (ECG) processing. In many ECG applications time is crucial and slow beat detection algorithm may cause serious problems. Beat detection algorithm desired property is to detect sufficiently large number of QRS complexes with small error in shortest time as possible. Our proposed method tries to combine weak and fast QRS detectors such as amplitude threshold based detector in order to obtain better detection result with very low computational increase. We developed a modified version of the well-known AdaBoost algorithm for combining weak QRS detectors. Our algorithm has been compared with the performance of our implementation of the Pan-Tompkins?s beat detection algorithm.
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
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
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 International Conference on Bio-inspired Systems and Signal Processing
ISBN
978-989-8565-36-5
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
280-283
Publisher name
SciTePress - Science and Technology Publications
Place of publication
Porto
Event location
Barcelona
Event date
Feb 11, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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