DocumentCode
319700
Title
Segmentation of electrocardiograms using a hidden Markov model
Author
Clavier, Laurent ; Boucher, Jean Marc
Author_Institution
Ecole Nat. Superieure des Telecommun. de Bretagne, Brest, France
Volume
4
fYear
1996
fDate
31 Oct-3 Nov 1996
Firstpage
1409
Abstract
The purpose of this study is to segment electrocardiograms (ECG) and detect accurately the P-wave onset and offset in order to be able to discriminate some cardiac arrhythmias. A hidden Markov model is used to perform this segmentation. The model includes the amplitude and the slope of the samples. It segments the beats of the ECGs in twelve parts. The results are good and can be applied to most of the ECGs encountered
Keywords
electrocardiography; hidden Markov models; medical signal processing; physiological models; ECG beats; P-wave offset; P-wave onset; cardiac arrhythmias; electrocardiograms segmentation; electrodiagnostics; Electrocardiography; Engineering in Medicine and Biology Society; Evolution (biology); Hidden Markov models; Monitoring; Robustness; Shape measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location
Amsterdam
Print_ISBN
0-7803-3811-1
Type
conf
DOI
10.1109/IEMBS.1996.647479
Filename
647479
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