In-vivo and Isolated HRV Analysis by Hidden Markov Model

Logo poskytovatele

Varování

Publikace nespadá pod Filozofickou fakultu, ale pod Lékařskou fakultu. Oficiální stránka publikace je na webu muni.cz.
Autoři

JANOUŠEK Oto RONZHINA Marina KOLÁŘOVÁ Jana PROVAZNÍK Ivo NOVÁKOVÁ Marie SCHEER Peter

Rok publikování 2014
Druh Článek ve sborníku
Konference Computing in Cardiology 2014
Fakulta / Pracoviště MU

Lékařská fakulta

Citace
Obor Fyziologie
Klíčová slova HRV Analysis; Markov Model
Popis 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.
Související projekty:

Používáte starou verzi internetového prohlížeče. Doporučujeme aktualizovat Váš prohlížeč na nejnovější verzi.