Fractionated Electrograms and Rotors Detection in Chronic Atrial Fibrillation Using Model-Based Clustering

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00221648" target="_blank" >RIV/68407700:21230/14:00221648 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/EMBC.2014.6943905" target="_blank" >http://dx.doi.org/10.1109/EMBC.2014.6943905</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EMBC.2014.6943905" target="_blank" >10.1109/EMBC.2014.6943905</a>

Result language
angličtina
Original language name
Fractionated Electrograms and Rotors Detection in Chronic Atrial Fibrillation Using Model-Based Clustering
Original language description
The identification of atrial fibrillation (AF) substrates is needed to improve ablation therapy guided by electrograms (EGM), although mechanisms that sustain AF are not fully understood. Detection of complex fractionated atrial electrograms (CFAE) is used for this purpose. Nonetheless, efficacy of this method is poor in the case of chronic AF. Recent hypothesis proposes the rotors as fibrillatory substrate. Novel approaches seek to relate CFAE with rotor; nevertheless, such methods are not able to identify the associated substrate. Furthermore, the patterns that characterize CFAE generated by rotors remain unknown. Thus, tracking of rotors is an unsolved issue. In this paper we propose a non-supervised method to find patterns associated with fibrillatory substrates in chronic AF. We extracted two features based on local activation wave detection and one feature based on non-linear dynamics. Gaussian mixture model-based clustering was used to discriminate CFAE patterns. Resulting clust
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
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
ISBN
978-1-4244-7929-0
ISSN
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e-ISSN
—
Number of pages
4
Pages from-to
1579-1582
Publisher name
IEEE
Place of publication
Piscataway
Event location
Chicago
Event date
Aug 26, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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