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@inproceedings{1216466,
author = {Janoušek, Oto and Ronzhina, Marina and Kolářová, Jana and Provazník, Ivo and Nováková, Marie and Scheer, Peter},
address = {Cambridge, Massachusetts, USA},
booktitle = {Computing in Cardiology 2014},
editor = {Alan Murray},
keywords = {HRV Analysis; Markov Model},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Cambridge, Massachusetts, USA},
isbn = {978-1-4799-4346-3},
pages = {981-984},
publisher = {IEEE/EMBS},
title = {In-vivo and Isolated HRV Analysis by Hidden Markov Model},
year = {2014}
}
TY - JOUR
ID - 1216466
AU - Janoušek, Oto - Ronzhina, Marina - Kolářová, Jana - Provazník, Ivo - Nováková, Marie - Scheer, Peter
PY - 2014
TI - In-vivo and Isolated HRV Analysis by Hidden Markov Model
PB - IEEE/EMBS
CY - Cambridge, Massachusetts, USA
SN - 9781479943463
KW - HRV Analysis
KW - Markov Model
N2 - Analysis of details of heart rate variability (HRV) series may improve diagnosis of nervous system activity. The aim of this study was to quantify oscillation character in HRV series details with usage of Hidden Markov model (HMM). Five New Zealand white rabbits and five isolated New Zealand rabbit hearts at Langendorff setup were studied. All oscillation-related coefficients of HMM transient matrix were significantly lower in isolated heart HRV series than in in-vivo ones. Significant tendency to compensate immediately the changes in RR interval duration is characteristic for isolated heart. Compensation process is very prompt, based on only one previous RR interval.
ER -
JANOUŠEK, Oto, Marina RONZHINA, Jana KOLÁŘOVÁ, Ivo PROVAZNÍK, Marie NOVÁKOVÁ a Peter SCHEER. In-vivo and Isolated HRV Analysis by Hidden Markov Model. In Alan Murray. \textit{Computing in Cardiology 2014}. Cambridge, Massachusetts, USA: IEEE/EMBS, 2014, s.~981-984. ISBN~978-1-4799-4346-3.
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