Characterization of Complex Fractionated Atrial Electrograms by Sample Entropy: An International Multi-Center Study
The result's identifiers
Result code in 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>
Alternative codes found
RIV/68407700:21730/15:00233354
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Characterization of Complex Fractionated Atrial Electrograms by Sample Entropy: An International Multi-Center Study
Original language description
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
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
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
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Entropy
ISSN
1099-4300
e-ISSN
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Volume of the periodical
17
Issue of the periodical within the volume
11
Country of publishing house
CH - SWITZERLAND
Number of pages
17
Pages from-to
7493-7509
UT code for WoS article
000365686500011
EID of the result in the Scopus database
2-s2.0-84952055730