In-vivo and isolated HRV analysis by Hidden Markov model

Author

Janousek, Oto ; Ronzhina, Marina ; Kolarova, Jana ; Provaznik, Ivo ; Novakova, Marie ; Scheer, Peter

Author_Institution

Brno Univ. of Technol., Brno, Czech Republic

fYear

2014

Firstpage

981

Lastpage

984

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

electrocardiography; hidden Markov models; matrix algebra; oscillations; HMM transient matrix; HRV series oscillation character quantification; Langendorff setup; New Zealand rabbit heart isolation; New Zealand white rabbit; RR interval duration change compensation; heart rate variability series analysis; hidden Markov model; in vivo HRV analysis; in-vivo heart HRV series; isolated HRV analysis; isolated heart HRV series; nervous system activity diagnosis; oscillation-related coefficient; Abstracts; Electrocardiography; Heart rate variability; Hidden Markov models; Transient analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing in Cardiology Conference (CinC), 2014

ISSN

2325-8861

Print_ISBN

978-1-4799-4346-3

Type

conf

Filename

7043209