Detail publikačního výsledku

Hidden Markov Models in Wavelet Analysis

BARDOŇOVÁ, J., PROVAZNÍK, I.

Originální název

Hidden Markov Models in Wavelet Analysis

Anglický název

Hidden Markov Models in Wavelet Analysis

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

myocardial ischemia, hidden Markov models, vectorcardiograms, wavelet transform

Klíčová slova v angličtině

myocardial ischemia, hidden Markov models, vectorcardiograms, wavelet transform

Autoři

BARDOŇOVÁ, J., PROVAZNÍK, I.

Vydáno

01.01.2000

Místo

Brno

ISBN

80-7204-155-X

Kniha

Sborník prací studentů a doktorandů

Strany od

47

Strany počet

3

BibTex

@inproceedings{BUT6689,
  author="Jana {Kolářová} and Valentýna {Provazník}",
  title="Hidden Markov Models in Wavelet Analysis",
  booktitle="Sborník prací studentů a doktorandů",
  year="2000",
  number="1",
  pages="3",
  address="Brno",
  isbn="80-7204-155-X"
}