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
fDate :
31 Oct-3 Nov 1996
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;
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
DOI :
10.1109/IEMBS.1996.647479
