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BARDOŇOVÁ, J., PROVAZNÍK, I., NOVÁKOVÁ, M.
Originální název
Detection of Myocardial Ischemia Using Hidden Markov Models
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
Myocardial ischemia, ECG signal, QRS complex, Wavelet transform, hidden Markov models
Autoři
Rok RIV
2003
Vydáno
1. 9. 2003
Nakladatel
IEEE
Místo
Cancun
Strany od
1
Strany do
4
Strany počet
BibTex
@inproceedings{BUT7870, author="Jana {Kolářová} and Valentine {Provazník} and Marie {Nováková}", title="Detection of Myocardial Ischemia Using Hidden Markov Models", booktitle="Proceedings of Annual International Conference IEEE EMBS 2003", year="2003", pages="4", publisher="IEEE", address="Cancun" }