Document Detail


Non-invasive organization variation assessment in the onset and termination of paroxysmal atrial fibrillation.
MedLine Citation:
PMID:  18950894     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Atrial Fibrillation (AF) is the most common supraventricular tachyarrhythmia. Recently, it has been suggested that AF is partially organized on its onset and termination, thus being more suitable for antiarrhythmia and to avoid unnecessary therapy. Although several invasive and non-invasive AF organization estimators have been proposed, the organization time course in the first and last minutes of AF has not been quantified yet. The aim of this work is to study non-invasively the organization variation within the first and last minutes of paroxysmal AF. The organization was evaluated making use of sample entropy, which can robustly estimate electrical atrial activity organization from surface ECG recordings. This work proves an organization decrease in the first minutes of AF onset and an increase within the last minute before spontaneous AF termination. These results are in agreement with the conclusions reported by other authors who made use of invasive recordings.
Authors:
Raúl Alcaraz; José Joaquín Rieta
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2008-10-23
Journal Detail:
Title:  Computer methods and programs in biomedicine     Volume:  93     ISSN:  1872-7565     ISO Abbreviation:  Comput Methods Programs Biomed     Publication Date:  2009 Feb 
Date Detail:
Created Date:  2009-01-16     Completed Date:  2009-04-02     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8506513     Medline TA:  Comput Methods Programs Biomed     Country:  Ireland    
Other Details:
Languages:  eng     Pagination:  148-54     Citation Subset:  IM    
Affiliation:
Innovation in Bioengineering Research Group, University of Castilla-La Mancha, Spain. raul.alcaraz@uclm.es
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MeSH Terms
Descriptor/Qualifier:
Analysis of Variance
Atrial Fibrillation / etiology,  physiopathology*
Biometry
Electrocardiography / statistics & numerical data*
Humans
Time Factors

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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