Modelling of Influence of Autpnomic Neural System to Heart Rate Variability
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F03%3A02088817" target="_blank" >RIV/68407700:21220/03:02088817 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Modelling of Influence of Autpnomic Neural System to Heart Rate Variability
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Modelling of Influence of Autpnomic Neural System to Heart Rate Variability
Popis výsledku anglicky
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.
Klasifikace
Druh
A - Audiovizuální tvorba
CEP obor
BC - Teorie a systémy řízení
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
Z - Vyzkumny zamer (s odkazem do CEZ)
Ostatní
Rok uplatnění
2003
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
ISBN
0-88986-367-9
Místo vydání
Calgary
Název nakladatele resp. objednatele
Not available
Verze
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Identifikační číslo nosiče
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