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@inproceedings{491001,
author = {Bardonová, Jana and Provazník, Ivo and Nováková, Marie and Veselá, Renata},
address = {Cancún, Mexico},
booktitle = {Proceedings of 25th Annual International Conference IEEE EMBS},
edition = {25},
keywords = {Myocardial ischemia; ECG signal; QRS complex; Wavelet transform; Hidden Markov models.},
language = {eng},
location = {Cancún, Mexico},
isbn = {0-7803-7789-3},
pages = {2869-2872},
publisher = {IEEE EMBS},
title = {Detection of Myocardial Ischemia Using Hidden Markov Models},
year = {2003}
}
TY - JOUR
ID - 491001
AU - Bardonová, Jana - Provazník, Ivo - Nováková, Marie - Veselá, Renata
PY - 2003
TI - Detection of Myocardial Ischemia Using Hidden Markov Models
PB - IEEE EMBS
CY - Cancún, Mexico
SN - 0780377893
KW - Myocardial ischemia
KW - ECG signal
KW - QRS complex
KW - Wavelet transform
KW - Hidden Markov models.
N2 - 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.
ER -
BARDONOVÁ, Jana, Ivo PROVAZNÍK, Marie NOVÁKOVÁ and Renata VESELÁ. Detection of Myocardial Ischemia Using Hidden Markov Models. In \textit{Proceedings of 25th Annual International Conference IEEE EMBS}. 25th ed. Cancún, Mexico: IEEE EMBS, 2003, p.~2869-2872. ISBN~0-7803-7789-3.
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