Publication detail

In-vivo and Isolated HRV Analysis by Hidden Markov Model

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

In-vivo and Isolated HRV Analysis by Hidden Markov Model

Type

conference paper

Language

en

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

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.

Keywords

HMM, isolated rabbit heart, HRV

RIV year

2014

Released

27.11.2014

Publisher

Computing in Cardiology 2014

Location

Cambridge, USA

ISBN

978-1-4799-4347-0

Book

Computing in Cardiology 2014

Edition

41

Edition number

1

Pages from

981

Pages to

984

Pages count

4

URL

Documents

BibTex


@inproceedings{BUT110232,
  author="Oto {Janoušek} and Marina {Ronzhina} and Jana {Kolářová} and Ivo {Provazník} and Marie {Nováková} and Peter {Scheer}",
  title="In-vivo and Isolated HRV Analysis by Hidden Markov Model",
  annote="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.",
  address="Computing in Cardiology 2014",
  booktitle="Computing in Cardiology 2014",
  chapter="110232",
  edition="41",
  howpublished="online",
  institution="Computing in Cardiology 2014",
  year="2014",
  month="november",
  pages="981--984",
  publisher="Computing in Cardiology 2014",
  type="conference paper"
}