Publication detail

Hidden Markov Models in Wavelet Analysis

Original Title

Hidden Markov Models in Wavelet Analysis

Czech Title

Hidden Markov Models in Wavelet Analysis

Language

cs

Original Abstract

The paper deals with analysis of myocardial ischemia caused by left anterior coronary artery occlusion. A system based on hidden Markov models has been designed. The vectorcardiograms recorded before and during the episode of local ischemia were preprocessed by wavelet transform to reveal short-time events during ventricular depolarization. To verify the models, 11 Langendorf-perfused rabbit hearts have been used. The presented results show that models can detect early ischemia in one of three orthogonal electrocardiograms in more than 90% of cases.

Czech abstract

The paper deals with analysis of myocardial ischemia caused by left anterior coronary artery occlusion. A system based on hidden Markov models has been designed. The vectorcardiograms recorded before and during the episode of local ischemia were preprocessed by wavelet transform to reveal short-time events during ventricular depolarization. To verify the models, 11 Langendorf-perfused rabbit hearts have been used. The presented results show that models can detect early ischemia in one of three orthogonal electrocardiograms in more than 90% of cases.

BibTex


@inproceedings{BUT6689,
  author="Jana {Kolářová} and Ivo {Provazník}",
  title="Hidden Markov Models in Wavelet Analysis",
  annote="The paper deals with analysis of myocardial ischemia caused by left anterior coronary artery occlusion. A system based on hidden Markov models has been designed. The vectorcardiograms recorded before and during the episode of local ischemia were preprocessed by wavelet transform to reveal short-time events during ventricular depolarization. To verify the models, 11 Langendorf-perfused rabbit hearts have been used. The presented results show that models can detect early ischemia in one of three orthogonal electrocardiograms in more than 90% of cases.",
  booktitle="Sborník prací studentů a doktorandů",
  chapter="6689",
  year="2000",
  month="january",
  pages="47",
  type="conference paper"
}