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Statements

Subject Item
n2:RIV%2F68407700%3A21220%2F03%3A02088817%21RIV%2F2004%2FMSM%2F212204%2FN
rdf:type
n9:Vysledek skos:Concept
dcterms:description
This paper presents some results coming from continuous, non-linear modelling of heart rate (HR) complex behaviour caused by various neural control regimes vagal control capability to modify the complexity of HR variability is manifested. This model is believed to reveal more about importance of the delays of fast beat-by-beat vagal baroreflex control feedback influences and displays development of chaotic behaviour similar to the one observed in other, even much simpler, non-linear systems where the deterministic chaos develops such as through bifurcations, for example. The paper briefly describes features of the modelling method leading to complex behaviour of the cardiovascular system from periodic-like R-R diagrams to ones with high dimension of deterministic chaos. The correlation dimension and largest Lyapunov exponents were calculated for measured data and briefly compared to the ones calculated for real cardiac disorder signals. This paper presents some results coming from continuous, non-linear modelling of heart rate (HR) complex behaviour caused by various neural control regimes vagal control capability to modify the complexity of HR variability is manifested. This model is believed to reveal more about importance of the delays of fast beat-by-beat vagal baroreflex control feedback influences and displays development of chaotic behaviour similar to the one observed in other, even much simpler, non-linear systems where the deterministic chaos develops such as through bifurcations, for example. The paper briefly describes features of the modelling method leading to complex behaviour of the cardiovascular system from periodic-like R-R diagrams to ones with high dimension of deterministic chaos. The correlation dimension and largest Lyapunov exponents were calculated for measured data and briefly compared to the ones calculated for real cardiac disorder signals.
dcterms:title
Modelling of Influence of Autpnomic Neural System to Heart Rate Variability Modelling of Influence of Autpnomic Neural System to Heart Rate Variability
skos:prefLabel
Modelling of Influence of Autpnomic Neural System to Heart Rate Variability Modelling of Influence of Autpnomic Neural System to Heart Rate Variability
skos:notation
RIV/68407700:21220/03:02088817!RIV/2004/MSM/212204/N
n4:aktivita
n11:Z
n4:aktivity
Z(MSM 212200008)
n4:dodaniDat
n19:2004
n4:domaciTvurceVysledku
n8:2339994 n8:8200599
n4:druhVysledku
n16:A
n4:duvernostUdaju
n7:S
n4:entitaPredkladatele
n5:predkladatel
n4:idSjednocenehoVysledku
615918
n4:idVysledku
RIV/68407700:21220/03:02088817
n4:jazykVysledku
n17:eng
n4:klicovaSlova
cardio-vascular system; heart rate variability; interpretation; modelling
n4:klicoveSlovo
n14:interpretation n14:heart%20rate%20variability n14:modelling n14:cardio-vascular%20system
n4:kodPristupu
n6:L
n4:kontrolniKodProRIV
[8C23A7C65EB0]
n4:mistoVydani
Calgary
n4:objednatelVyzkumneZpravy
Not available
n4:obor
n12:BC
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
4
n4:rokUplatneniVysledku
n19:2003
n4:tvurceVysledku
Bukovský, Ivo Bíla, Jiří Oliveira, T. Martins, J.
n4:zamer
n15:MSM%20212200008
n18:isbn
0-88986-367-9
n10:organizacniJednotka
21220