Document Detail


Quantifying the PR interval pattern during dynamic exercise and recovery.
MedLine Citation:
PMID:  19695988     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We present a novel analysis tool for time delay estimation in electrocardiographic signal processing. This tool enhances PR interval estimation (index of the atrioventricular conduction time) by limiting the distortion effect of the T wave overlapping the P wave at high heart rates. Our approach consists of modeling the T wave, cancelling its influence, and finally estimating the PR intervals during exercise and recovery with the proposed generalized Woody method. Different models of the T wave are presented and compared in a statistical summary that quantitatively justifies the improvements introduced by this study. Among the different models tested, we found that a piecewise linear function significantly reduces the T wave-induced bias in the estimation process. Combining this modeling with the proposed time delay estimation method leads to accurate PR interval estimation. Using this method on real ECGs recorded during exercise and its recovery, we found: 1) that the slopes of PR interval series in the early recovery phase are dependent on the subjects' training status (average of the slopes for sedentary men = 0.11 ms/s, and for athlete men = 0.28 ms/s), and 2) an hysteresis phenomenon exists in the relation PR/RR intervals when data from exercise and recovery are compared.
Authors:
Aline Cabasson; Olivier Meste; Gr??gory Blain; St??phane Bermon
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Publication Detail:
Type:  Journal Article     Date:  2009-08-18
Journal Detail:
Title:  IEEE transactions on bio-medical engineering     Volume:  56     ISSN:  1558-2531     ISO Abbreviation:  IEEE Trans Biomed Eng     Publication Date:  2009 Nov 
Date Detail:
Created Date:  2009-10-27     Completed Date:  2010-01-14     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0012737     Medline TA:  IEEE Trans Biomed Eng     Country:  United States    
Other Details:
Languages:  eng     Pagination:  2675-83     Citation Subset:  IM    
Affiliation:
Laboratory I3S, Centre National de la Recherche Scientifique, University of Nice, Sophia Antipolis, France. cabasson@i3s.unice.fr
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Cluster Analysis
Computer Simulation
Electrocardiography / methods*
Exercise / physiology*
Humans
Least-Squares Analysis
Male
Models, Statistical
Normal Distribution
Signal Processing, Computer-Assisted*

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


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