Multifractal analysis for grading complex fractionated electrograms in atrial fibrillation

Result code in 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>

Alternative codes found

RIV/68407700:21730/15:00234584

Result on the web

<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>

Result language

angličtina

Original language name

Multifractal analysis for grading complex fractionated electrograms in atrial fibrillation

Original language description

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.

Czech name

—

Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JC - Computer hardware and software

OECD FORD branch

—

Project

<a href="/en/project/GPP103%2F11%2FP106" target="_blank" >GPP103/11/P106: Integration of digital signal processing and artificial intelligence methods for intracardial signal complexity evaluation</a><br>

Continuities

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

Publication year

2015

Confidentiality

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

Name of the periodical

Physiological Measurement

ISSN

0967-3334

e-ISSN

—

Volume of the periodical

34

Issue of the periodical within the volume

11

Country of publishing house

GB - UNITED KINGDOM

Number of pages

16

Pages from-to

2269-2284

UT code for WoS article

000367844400004

EID of the result in the Scopus database

2-s2.0-84947251610