Detection of myocardial ischemia using hidden Markov models

被引：0

作者：

Bardonova, J ^{[1
]}

Provaznik, I ^{[1
]}

Novakova, M ^{[1
]}

Vesela, R ^{[1
]}

机构：

[1] Brno Univ Technol, Fac Elect Engn & Commun, Dept Biomed Engn, Brno, Czech Republic

来源：

PROCEEDINGS OF THE 25TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4: A NEW BEGINNING FOR HUMAN HEALTH | 2003年 / 25卷

关键词：

myocardial ischemia; ECG signal; QRS complex; wavelet transform; hidden Markov models;

D O I：

10.1109/IEMBS.2003.1280517

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

The paper deals with detection of myocardial ischemia by analysis of electrophysiological changes within QRS complexes of electrocardiograms (ECG). ECG signals were analysed by continuous wavelet transform (CWT). Time-frequency spectra of QRS complexes were used as an input of a detection system based on hidden Markov models (HMMs). Parameters of the used HMMs were assessed to recommend their optimal values. The presented results show that HMM analysis of ECGs preprocessed by CWT can be used for early detection of myocardial ischemia. Eleven Langendorff perfused rabbit hearts were used to record training and test data to learn Markov models. An average value of resulting sensitivity and specificity of detection system was around 0.9 depending on parameter setting of the models.

引用

页码：2869 / 2872

页数：4

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