A-EGM Features Extraction Using Wavelet Signal Processing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00193450" target="_blank" >RIV/68407700:21230/12:00193450 - 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
A-EGM Features Extraction Using Wavelet Signal Processing
Original language description
Though atrial electrogram (A-EGM) signal processing plays more and more important role in research that helps physicians to ease and shorten radiofrequency ablation (RFA) procedure of atrial fibrillation (AF), feature extraction algorithms are still notwell and clearly understood and described in contemporary literature. Conversely different methods of A-EGM evaluation are compared and published frequently, but often based on these feature extraction algorithms that are not so well published. This paper is aimed to start to put the light on the basics that precedes using of features for A-EGM evaluation. Basic wavelet signal processing tools are used to preprocess and extract simple but (as proven in published research) valuable features of A-EGM signal that was measured during RFA of AF. This approach was proven and it helps to classify complexity of A-EGM signals. More detailed view on the extraction process is given here to enable an easy and reproducible usage of these A-EGM proce
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/GPP103%2F11%2FP106" target="_blank" >GPP103/11/P106: Integration of digital signal processing and artificial intelligence methods for intracardial signal complexity evaluation</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IFMBE Proceedings: World Congress on Medical Physics and Biomedical Engineering
ISBN
978-3-642-29304-7
ISSN
1680-0737
e-ISSN
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Number of pages
4
Pages from-to
534-537
Publisher name
Springer
Place of publication
Heidelberg
Event location
Beijing ( Peking)
Event date
May 26, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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