Optimal Setup of Algorithms and Methods for Evaluation of Endocardial Electrograms Fractionation Complexity in Human

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00182491" target="_blank" >RIV/68407700:21230/11:00182491 - 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
Optimal Setup of Algorithms and Methods for Evaluation of Endocardial Electrograms Fractionation Complexity in Human
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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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
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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