Robust Classification of Endocardial Electrograms Fractionation in Human using Nearest Mean Classifier

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00163441" target="_blank" >RIV/68407700:21230/09:00163441 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Robust Classification of Endocardial Electrograms Fractionation in Human using Nearest Mean Classifier

Popis výsledku v původním jazyce

Complex fractionated atrial electrograms (CFAEs) may represent the electrophysiological substrate for atrial fibrillation (AF). Progress in signal processing algorithms to identify CFAEs sites is crucial for the development of AF ablation strategies. A novel algorithm for automated description of atrial electrograms (A-EGMs) fractionation based on wavelet transform and several statistical pattern recognition methods was proposed and new methodology of A-EGM processing was designed and tested in such a comprehensive form than ever before. 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.

Název v anglickém jazyce

Robust Classification of Endocardial Electrograms Fractionation in Human using Nearest Mean Classifier

Popis výsledku anglicky

Complex fractionated atrial electrograms (CFAEs) may represent the electrophysiological substrate for atrial fibrillation (AF). Progress in signal processing algorithms to identify CFAEs sites is crucial for the development of AF ablation strategies. A novel algorithm for automated description of atrial electrograms (A-EGMs) fractionation based on wavelet transform and several statistical pattern recognition methods was proposed and new methodology of A-EGM processing was designed and tested in such a comprehensive form than ever before. 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.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2009

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings Measurement 2009

ISBN

978-80-969672-1-6

ISSN

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e-ISSN

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Počet stran výsledku

4

Strana od-do

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Název nakladatele

Institute of Measurement Science of the SAS

Místo vydání

Bratislava

Místo konání akce

Smolenice Castle

Datum konání akce

20. 5. 2009

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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