Multifractal analysis for grading complex fractionated electrograms in atrial fibrillation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00234584" target="_blank" >RIV/68407700:21230/15:00234584 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21730/15:00234584

Výsledek na webu

<a href="http://iopscience.iop.org/article/10.1088/0967-3334/36/11/2269/meta" target="_blank" >http://iopscience.iop.org/article/10.1088/0967-3334/36/11/2269/meta</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1088/0967-3334/36/11/2269" target="_blank" >10.1088/0967-3334/36/11/2269</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Multifractal analysis for grading complex fractionated electrograms in atrial fibrillation

Popis výsledku v původním jazyce

Complex fractionated atrial electrograms provide an important tool for identifying arrhythmogenic substrates that can be used to guide catheter ablation for atrial fibrillation (AF). However, fractionation is a phenomenon that remains unclear. This paperaims to evaluate the multifractal properties of electrograms in AF in order to propose a method based on multifractal analysis able to discriminate between different levels of fractionation. We introduce a new method, the h-fluctuation index (hFI), where h is the generalised Hurst exponent, to extract information from the shape of the multifractal spectrum. Two multifractal frameworks are evaluated: multifractal detrended fluctuation analysis and wavelet transform modulus maxima. hFI is exemplified through its application in synthetic signals, and it is evaluated in a database of electrograms labeled on the basis of four degrees of fractionation. We compare the performance of hFI with other indexes, and find that hFI outperforms them.

Název v anglickém jazyce

Multifractal analysis for grading complex fractionated electrograms in atrial fibrillation

Popis výsledku anglicky

Complex fractionated atrial electrograms provide an important tool for identifying arrhythmogenic substrates that can be used to guide catheter ablation for atrial fibrillation (AF). However, fractionation is a phenomenon that remains unclear. This paperaims to evaluate the multifractal properties of electrograms in AF in order to propose a method based on multifractal analysis able to discriminate between different levels of fractionation. We introduce a new method, the h-fluctuation index (hFI), where h is the generalised Hurst exponent, to extract information from the shape of the multifractal spectrum. Two multifractal frameworks are evaluated: multifractal detrended fluctuation analysis and wavelet transform modulus maxima. hFI is exemplified through its application in synthetic signals, and it is evaluated in a database of electrograms labeled on the basis of four degrees of fractionation. We compare the performance of hFI with other indexes, and find that hFI outperforms them.

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

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název periodika

Physiological Measurement

ISSN

0967-3334

e-ISSN

—

Svazek periodika

34

Číslo periodika v rámci svazku

11

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

16

Strana od-do

2269-2284

Kód UT WoS článku

000367844400004

EID výsledku v databázi Scopus

2-s2.0-84947251610