Feature Selection for Discrimination of Fractionation Levels in Atrial Electrograms

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00224422" target="_blank" >RIV/68407700:21230/14:00224422 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/EMBC.2014.6943909" target="_blank" >http://dx.doi.org/10.1109/EMBC.2014.6943909</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/EMBC.2014.6943909" target="_blank" >10.1109/EMBC.2014.6943909</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Feature Selection for Discrimination of Fractionation Levels in Atrial Electrograms

Popis výsledku v původním jazyce

Radiofrequency catheter ablation of atrial fibrillation (AF) guided by complex fractionated atrial electrograms (CFAE) is associated with a high AF termination rate in paroxysmal AF, but not in persistent. CFAE does not always identify favorable sites for persistent AF ablation. Studies suggest that only high fractionation level should be used as a target site for ablation. Nonetheless, there are not a standardized criterion to defined fractionation levels. Therefore, a better characterization of the signal is required providing a set of more powerful features that should be extracted from CFAE. Due to the apparent difference among fractionation classes in terms of their stochastic variability, we test time-domain and time-frequency based feature extraction approaches. Also, we carried out the symmetrical uncertainty-based feature selection to determine the most relevant features which improve discrimination of fractionation levels. Obtained results on a tested real electrogram databas

Název v anglickém jazyce

Feature Selection for Discrimination of Fractionation Levels in Atrial Electrograms

Popis výsledku anglicky

Radiofrequency catheter ablation of atrial fibrillation (AF) guided by complex fractionated atrial electrograms (CFAE) is associated with a high AF termination rate in paroxysmal AF, but not in persistent. CFAE does not always identify favorable sites for persistent AF ablation. Studies suggest that only high fractionation level should be used as a target site for ablation. Nonetheless, there are not a standardized criterion to defined fractionation levels. Therefore, a better characterization of the signal is required providing a set of more powerful features that should be extracted from CFAE. Due to the apparent difference among fractionation classes in terms of their stochastic variability, we test time-domain and time-frequency based feature extraction approaches. Also, we carried out the symmetrical uncertainty-based feature selection to determine the most relevant features which improve discrimination of fractionation levels. Obtained results on a tested real electrogram databas

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

ISBN

978-1-4244-7929-0

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

1595-1598

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Chicago

Datum konání akce

26. 8. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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