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Detail publikačního výsledku
JANOUŠEK, O.; RONZHINA, M.; KOLÁŘOVÁ, J.; PROVAZNÍK, I.; NOVÁKOVÁ, M.; SCHEER, P.
Originální název
In-vivo and Isolated HRV Analysis by Hidden Markov Model
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
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.
Anglický abstrakt
Klíčová slova
HMM, isolated rabbit heart, HRV
Klíčová slova v angličtině
Autoři
Vydáno
27.11.2014
Nakladatel
Computing in Cardiology 2014
Místo
Cambridge, USA
ISBN
978-1-4799-4347-0
Kniha
Edice
41
Strany od
981
Strany do
984
Strany počet
4
URL
http://www.cinc.org/archives/2014/pdf/0981.pdf
BibTex
@inproceedings{BUT110232, author="Oto {Janoušek} and Marina {Filipenská} and Jana {Kolářová} and Valentýna {Provazník} and Marie {Nováková} and Peter {Scheer}", title="In-vivo and Isolated HRV Analysis by Hidden Markov Model", booktitle="Computing in Cardiology 2014", year="2014", series="41", number="1", pages="981--984", publisher="Computing in Cardiology 2014", address="Cambridge, USA", isbn="978-1-4799-4347-0", url="http://www.cinc.org/archives/2014/pdf/0981.pdf" }