2016
DOI: 10.1007/s10441-016-9295-y
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Recursive Model Identification for the Evaluation of Baroreflex Sensitivity

Abstract: A method for the recursive identification of physiological models of the cardiovascular baroreflex is proposed and applied to the time-varying analysis of vagal and sympathetic activities. The proposed method was evaluated with data from five newborn lambs, which were acquired during injection of vasodilator and vasoconstrictors and the results show a close match between experimental and simulated signals. The model-based estimation of vagal and sympathetic contributions were consistent with physiological know… Show more

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Cited by 2 publications
(3 citation statements)
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“…As in previous works of our team [36,37], the best set of {Z S , Z V } parameters for each patient was identified on each interval i, through an approach based on evolutionary algorithms [38]. The initial population, or first set of candidate optimization solutions, was randomly generated.…”
Section: Recursive Identificationmentioning
confidence: 99%
“…As in previous works of our team [36,37], the best set of {Z S , Z V } parameters for each patient was identified on each interval i, through an approach based on evolutionary algorithms [38]. The initial population, or first set of candidate optimization solutions, was randomly generated.…”
Section: Recursive Identificationmentioning
confidence: 99%
“…A model-based method was used to gain further understanding of the effects of the acute application of nCPAP on both the cardiovascular system (including the baroreflex) and the respiratory system in the neonatal period. An integrated model of the cardiovascular and respiratory systems adapted to the newborn lamb was first proposed based on our laboratory's previous work (42,44,45,47). A formal sensitivity analysis was performed to determine the most influential parameters on two outputs of the model already assessed with our signal processing approach, namely RR and RSA.…”
Section: Mathematical Modeling Approachmentioning
confidence: 99%
“…Development of a mathematical model of the neonatal cardiorespiratory system. A novel integrated model is proposed, based on the assembly of three submodels of 1) respiratory system mechanics (47); 2) cardiovascular system mechanics (46,78); and 3) the arterial baroreflex control of heart rate (HR) (42,44,45) (Fig. 1).…”
Section: Mathematical Modeling Approachmentioning
confidence: 99%