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JANOUŠEK, O.; RONZHINA, M.; KOLÁŘOVÁ, J.; PROVAZNÍK, I.; NOVÁKOVÁ, M.; SCHEER, P.
Original Title
In-vivo and Isolated HRV Analysis by Hidden Markov Model
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
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.
English abstract
Keywords
HMM, isolated rabbit heart, HRV
Key words in English
Authors
Released
27.11.2014
Publisher
Computing in Cardiology 2014
Location
Cambridge, USA
ISBN
978-1-4799-4347-0
Book
Edition
41
Pages from
981
Pages to
984
Pages count
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" }