Atrial Electrogram Complex Fractionated Entropy Study

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00221647" target="_blank" >RIV/68407700:21230/14:00221647 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21730/14:00221647

Výsledek na webu

<a href="http://cardiologyacademicpress.com/soap/pdf/delme_2271_544424f0b723d8.09199528.pdf" target="_blank" >http://cardiologyacademicpress.com/soap/pdf/delme_2271_544424f0b723d8.09199528.pdf</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Atrial Electrogram Complex Fractionated Entropy Study

Popis výsledku v původním jazyce

Atrial electrogram (AEGM) signal processing started to play an important role during radiofrequency ablation (RFA) of atrial fibrillation (AF). This work uses Sample Entropy (SampEn) as a tool for quantification and evaluation of AEGM complexity and discrimination between complex fractionated AEGM (CFAE) and non CFAE. Additionally, SampEn classification capabilities and its robustness are tested against the presence of spikes and sample loss. Both signal disturbances were superimposed to the original AEGM signals. AEGM signals were measured during RFA of AF in patients recommended for RFA of AF. The database consisted of 113 AEGM signals of short length, 1.5 s, classified by experts into nonCFAE and CFAE classes. The results demonstrated that SampEn conserved its clinical validity up to a 10% of spike contamination (Cxy > 0.8) even though it was able to differentiate between CFAE and nonCFAE classes up to a spike probability of 0.5. It also proved to differentiate between nonCFAE and C

Název v anglickém jazyce

Atrial Electrogram Complex Fractionated Entropy Study

Popis výsledku anglicky

Atrial electrogram (AEGM) signal processing started to play an important role during radiofrequency ablation (RFA) of atrial fibrillation (AF). This work uses Sample Entropy (SampEn) as a tool for quantification and evaluation of AEGM complexity and discrimination between complex fractionated AEGM (CFAE) and non CFAE. Additionally, SampEn classification capabilities and its robustness are tested against the presence of spikes and sample loss. Both signal disturbances were superimposed to the original AEGM signals. AEGM signals were measured during RFA of AF in patients recommended for RFA of AF. The database consisted of 113 AEGM signals of short length, 1.5 s, classified by experts into nonCFAE and CFAE classes. The results demonstrated that SampEn conserved its clinical validity up to a 10% of spike contamination (Cxy > 0.8) even though it was able to differentiate between CFAE and nonCFAE classes up to a spike probability of 0.5. It also proved to differentiate between nonCFAE and C

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

—

Projekt

<a href="/cs/project/GPP103%2F11%2FP106" target="_blank" >GPP103/11/P106: Integrace digitálního zpracování obrazu a metod umělé inteligence pro hodnocení komplexity intrakardiálních signálů</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název periodika

Experimental & Clinical Cardiology

ISSN

1205-6626

e-ISSN

—

Svazek periodika

20

Číslo periodika v rámci svazku

9

Stát vydavatele periodika

CA - Kanada

Počet stran výsledku

9

Strana od-do

5566-5574

Kód UT WoS článku

—

EID výsledku v databázi Scopus

—