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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F00%3APU22315%21RIV%2F2005%2FMSM%2F262205%2FN
rdf:type
n5:Vysledek skos:Concept
dcterms:description
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. 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. 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.
dcterms:title
Hidden Markov Models in Wavelet Analysis Hidden Markov Models in Wavelet Analysis Hidden Markov Models in Wavelet Analysis
skos:prefLabel
Hidden Markov Models in Wavelet Analysis Hidden Markov Models in Wavelet Analysis Hidden Markov Models in Wavelet Analysis
skos:notation
RIV/00216305:26220/00:PU22315!RIV/2005/MSM/262205/N
n3:strany
47-49
n3:aktivita
n18:Z
n3:aktivity
Z(MSM 262200011)
n3:dodaniDat
n12:2005
n3:domaciTvurceVysledku
n6:4096541 n6:8088586
n3:druhVysledku
n13:D
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n17:predkladatel
n3:idSjednocenehoVysledku
712383
n3:idVysledku
RIV/00216305:26220/00:PU22315
n3:jazykVysledku
n15:cze
n3:klicovaSlova
myocardial ischemia, hidden Markov models, vectorcardiograms, wavelet transform
n3:klicoveSlovo
n8:vectorcardiograms n8:myocardial%20ischemia n8:wavelet%20transform n8:hidden%20Markov%20models
n3:kontrolniKodProRIV
[CFCDA3469045]
n3:mistoKonaniAkce
Brno
n3:mistoVydani
Brno
n3:nazevZdroje
Sborník prací studentů a doktorandů
n3:obor
n16:JD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n12:2000
n3:tvurceVysledku
Bardoňová, Jana Provazník, Ivo
n3:typAkce
n9:CST
n3:zahajeniAkce
2000-05-01+02:00
n3:zamer
n11:MSM%20262200011
s:numberOfPages
3
n10:hasPublisher
Neuveden
n14:isbn
80-7204-155-X
n19:organizacniJednotka
26220