Document Detail


Automatic detection and classification of human epicardial atrial unipolar electrograms.
MedLine Citation:
PMID:  19843981     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This paper describes an unsupervised signal processing method applied to three-channel unipolar electrograms recorded from human atria. These were obtained by epicardial wires sutured on the right and left atria after coronary artery bypass surgery. Atrial (A) and ventricular (V) activations had to be detected and identified on each channel, and gathered across the channels when belonging to the same global event. The algorithm was developed and optimized on a training set of 19 recordings of 5 min. It was assessed on twenty-seven 2 h recordings taken just before the onset of a prolonged atrial fibrillation for a total of 1593697 activations that were validated and classified as normal atrial or ventricular activations (A, V) and premature atrial or ventricular activations (PAA, PVA). 99.93% of the activations were detected, and amongst these, 99.89% of the A and 99.75% of the V activations were correctly labelled. In the subset of the 39705 PAA, 99.83% were detected and 99.3% were correctly classified as A. The false positive rate was 0.37%. In conclusion, a reliable fully automatic detection and classification algorithm was developed that can detect and discriminate A and V activations from atrial recordings. It can provide the time series needed to develop a monitoring system aiming to identify dynamic predictors of forthcoming cardiac events such as postoperative atrial fibrillation.
Authors:
B Dub?; A Vinet; F Xiong; Y Yin; A-R LeBlanc; P Pag?
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Validation Studies     Date:  2009-10-20
Journal Detail:
Title:  Physiological measurement     Volume:  30     ISSN:  1361-6579     ISO Abbreviation:  Physiol Meas     Publication Date:  2009 Dec 
Date Detail:
Created Date:  2009-11-25     Completed Date:  2010-02-09     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9306921     Medline TA:  Physiol Meas     Country:  England    
Other Details:
Languages:  eng     Pagination:  1303-25     Citation Subset:  IM    
Affiliation:
Research Center, H?pital du Sacr?-Coeur de Montr?al, Universit? de Montr?al, Canada.
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Atrial Fibrillation / diagnosis*,  physiopathology*
Atrial Function / physiology*
Atrial Function, Left / physiology
Atrial Function, Right / physiology
Automation / methods*
Coronary Artery Bypass / methods
Electrocardiography / methods*
Electrodes, Implanted
False Positive Reactions
Humans
Reproducibility of Results
Signal Processing, Computer-Assisted*
Time Factors
Ventricular Function / physiology
Grant Support
ID/Acronym/Agency:
//Canadian Institutes of Health Research

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


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