Hidden Markov Models in Wavelet Analysis

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F00%3APU22315" target="_blank" >RIV/00216305:26220/00:PU22315 - isvavai.cz</a>
Výsledek na webu
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Jazyk výsledku
čeština
Název v původním jazyce
Hidden Markov Models in Wavelet Analysis
Popis výsledku v původním jazyce
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 orthogonaal electrocardiograms in more than 90% of cases.
Název v anglickém jazyce
Hidden Markov Models in Wavelet Analysis
Popis výsledku anglicky
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 orthogonaal electrocardiograms in more than 90% of cases.

Rok uplatnění
2000
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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