Evaluation of Endocardial Electrograms Fractionation Complexity in Human Using Statistical Pattern Recognition

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00163372" target="_blank" >RIV/68407700:21230/09:00163372 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Evaluation of Endocardial Electrograms Fractionation Complexity in Human Using Statistical Pattern Recognition
Original language description
Identification of complex fractionated atrial electrograms (CFAEs) sites is crucial for the development of new AF ablation strategies. CFAE may represent the electrophysiological substrate for atrial fibrillation (AF). Progress in signal processing algorithms is the key part of this task. Algorithm for automated description of atrial electrograms (A-EGMs) fractionation based on wavelet transform and several feature extraction methods and statistical pattern recognition was proposed and methodology of A-EGM processing was designed and tested. The algorithms for signal processing, description and classification were developed and validated using a representative set of 1:5 s A-EGMs (n = 113) ranked by 3 independent experts into 4 classes of fractionation: 1 - organized atrial activity; 2 - mild; 3 - intermediate; 4 - high degree of fractionation.
Czech name
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Czech description
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Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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
3
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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