Segmentation of electrocardiograms using a Hidden Markov Model.

被引：0
|
作者：
Clavier, L [1 ]
Boucher, JM [1 ]
机构：
[1] Technopole de Brest Iroise, Ecole Natl Super Telecommun Bretagne, Dept Signal & Commun, LATIM, F-29285 Brest, France
来源：
PROCEEDINGS OF THE 18TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 18, PTS 1-5 | 1997年 / 18卷
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D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
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 arrhytmias. 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.
引用
收藏
页码：1409 / 1410
页数：2
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