Recursive identification of an arterial baroreflex model for the evaluation of cardiovascular autonomic modulation - Université de Rennes Access content directly
Journal Articles Computers in Biology and Medicine Year : 2015

Recursive identification of an arterial baroreflex model for the evaluation of cardiovascular autonomic modulation

Abstract

The evaluation of the time-varying vagal and sympathetic contributions to heart rate remains a challenging task because the observability of the baroreflex is generally limited and the time-varying properties are difficult to take into account, especially in non-stationnary conditions. The objective is to propose a model-based approach to estimate the autonomic modulation during a pharmacological challenge. A recursive parameter identification method is proposed and applied to a mathematical model of the baroreflex, in order to estimate the time-varying vagal and sympathetic contributions to heart rate modulation during autonomic maneuvers. The model-based method was evaluated with data from five newborn lambs, which were acquired during injection of vasodilator and vasoconstrictor drugs, on normal conditions and under beta-blockers, so as to quantify the effect of the pharmacological sympathetic blockade on the estimated parameters. After parameter identification, results show a close match between experimental and simulated signals for the five lambs, as the mean relative root mean squared error is equal to 0.0026 (+/-0.003). The error, between simulated and experimental signals, is significantly reduced compared to a batch identification of parameters. The model-based estimation of vagal and sympathetic contributions were consistent with physiological knowledge and, as expected, it was possible to observe an alteration of the sympathetic response under beta-blockers. The simulated vagal modulation illustrates a response similar to traditional heart rate variability markers during the pharmacological maneuver. The model-based method, proposed in the paper, highlights the advantages of using a recursive identification method for the estimation of vagal and sympathetic modulation
Fichier principal
Vignette du fichier
Recursive identification of an arterial baroreflex model.pdf (637.13 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01262697 , version 1 (11-02-2016)

Identifiers

Cite

Virginie Le Rolle, Alain Beuchée, Jean-Paul Praud, Nathalie Samson, Patrick Pladys, et al.. Recursive identification of an arterial baroreflex model for the evaluation of cardiovascular autonomic modulation. Computers in Biology and Medicine, 2015, 66, pp.287-294. ⟨10.1016/j.compbiomed.2015.09.013⟩. ⟨hal-01262697⟩
72 View
284 Download

Altmetric

Share

Gmail Facebook X LinkedIn More