Characterization of Complex Fractionated Atrial Electrograms by Sample Entropy: An International Multi-Center Study

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00233354" target="_blank" >RIV/68407700:21230/15:00233354 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21730/15:00233354

Výsledek na webu

<a href="http://www.mdpi.com/1099-4300/17/11/7493/pdf" target="_blank" >http://www.mdpi.com/1099-4300/17/11/7493/pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/e17117493" target="_blank" >10.3390/e17117493</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Characterization of Complex Fractionated Atrial Electrograms by Sample Entropy: An International Multi-Center Study

Popis výsledku v původním jazyce

Atrial fibrillation (AF) is the most commonly clinically-encountered arrhythmia. Catheter ablation of AF is mainly based on trigger elimination and modification of the AF substrate. Substrate mapping ablation of complex fractionated atrial electrograms (CFAEs) has emerged to be a promising technique. To improve substrate mapping based on CFAE analysis, automatic detection algorithms need to be developed in order to simplify and accelerate the ablation procedures. According to the latest studies, the level of fractionation has been shown to be promisingly well estimated from CFAE measured during radio frequency (RF) ablation of AF. The nature of CFAE is generally nonlinear and nonstationary, so the use of complexity measures is considered to be the appropriate technique for the analysis of AF records. This work proposes the use of sample entropy (SampEn), not only as a way to discern between non-fractionated and fractionated atrial electrograms (A-EGM), but also as a tool for characteri

Název v anglickém jazyce

Characterization of Complex Fractionated Atrial Electrograms by Sample Entropy: An International Multi-Center Study

Popis výsledku anglicky

Atrial fibrillation (AF) is the most commonly clinically-encountered arrhythmia. Catheter ablation of AF is mainly based on trigger elimination and modification of the AF substrate. Substrate mapping ablation of complex fractionated atrial electrograms (CFAEs) has emerged to be a promising technique. To improve substrate mapping based on CFAE analysis, automatic detection algorithms need to be developed in order to simplify and accelerate the ablation procedures. According to the latest studies, the level of fractionation has been shown to be promisingly well estimated from CFAE measured during radio frequency (RF) ablation of AF. The nature of CFAE is generally nonlinear and nonstationary, so the use of complexity measures is considered to be the appropriate technique for the analysis of AF records. This work proposes the use of sample entropy (SampEn), not only as a way to discern between non-fractionated and fractionated atrial electrograms (A-EGM), but also as a tool for characteri

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

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název periodika

Entropy

ISSN

1099-4300

e-ISSN

—

Svazek periodika

17

Číslo periodika v rámci svazku

11

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

17

Strana od-do

7493-7509

Kód UT WoS článku

000365686500011

EID výsledku v databázi Scopus

2-s2.0-84952055730