Document Detail


QT interval analysis on ambulatory electrocardiogram recordings: a selective beat averaging approach.
MedLine Citation:
PMID:  10396845     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
A computerised method for the analysis of QT intervals in ambulatory ECG recordings is presented. This approach is based on selective beat averaging which allows one to process P-QRS-T complexes together with the environment that characterises them. Long-term autonomic nervous system influences are accounted for by separating the analysis over different circadian periods. Effects of QT recovery time are taken into account by requiring a stable heart rate preceding each beat to be averaged. Before averaging, beats are resampled and realigned with respect to the R-wave peak estimated by parabolic interpolation. Averaged ECG templates are then analysed with an algorithm which automatically detects QRS complex and T-wave features. Repolarisation analysis is based on first and second derivatives of lowpass filtered ECG (recursive Butterworth filter). The QT/RR relationship and the circadian QT variation at identical heart rate were analysed in 14 normal individuals. When performed at stable heart rate conditions and when confined to well-defined circadian periods, the QT/RR relationship was strongly linear (r = 0.95 +/- 0.06); in addition, the slope of this relation changed between day and night (respectively, 0.197 +/- 0.07 and 0.139 +/- 0.03, p < 0.01). The range of circadian QT variation at identical heart rate was approximately 20 ms for both males and females.
Authors:
F Badilini; P Maison-Blanche; R Childers; P Coumel
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Medical & biological engineering & computing     Volume:  37     ISSN:  0140-0118     ISO Abbreviation:  Med Biol Eng Comput     Publication Date:  1999 Jan 
Date Detail:
Created Date:  1999-07-20     Completed Date:  1999-07-20     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  7704869     Medline TA:  Med Biol Eng Comput     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  71-9     Citation Subset:  IM    
Affiliation:
Hôpital Lariboisière, Service de Cardiologie, Paris, France. badilini@aol.com
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Diagnosis, Computer-Assisted
Electrocardiography, Ambulatory*
Heart Diseases / diagnosis*
Humans
Signal Processing, Computer-Assisted*

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


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