Atrial Electrogram Complex Fractionated Entropy Study
The result's identifiers
Result code in 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>
Alternative codes found
RIV/68407700:21730/14:00221647
Result on the web
<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
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Alternative languages
Result language
angličtina
Original language name
Atrial Electrogram Complex Fractionated Entropy Study
Original language description
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
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
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Experimental & Clinical Cardiology
ISSN
1205-6626
e-ISSN
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Volume of the periodical
20
Issue of the periodical within the volume
9
Country of publishing house
CA - CANADA
Number of pages
9
Pages from-to
5566-5574
UT code for WoS article
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EID of the result in the Scopus database
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