Parameter Estimation of a Mathematical Model Describing the Cardiovascular-Respiratory Interaction

Layli Goldoozian 1, * Antonio Hidalgo-Muñoz 2 Vicente Zarzoso 2 Edmond Zahedi 1
* Auteur correspondant
1 Department of Electrical Engineering - Sharif University of Technology
2 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe SIGNAL
SIS - Signal, Images et Systèmes
Abstract : Short-term interaction between heart rate (HR) and physiological measures like blood pressure and respiration reveals relevant information about autonomic nervous system (ANS) function. Complex mathematical models for describing their couplings have been proposed in the literature. However, an accurate estimation of their parameters in an inverse modeling problem is crucial to extract reliable ANS related indices. This study considers a physiologically-based model of the cardiovascular- respiratory system and ANS control that presents the neural and mechanical effects of respiration separately. The estimation method is evaluated on synthetic signals. An accurate estimation of the highest-sensitivity model parameter (intrinsic HR) is achieved with an error of 4.7 ± 3.4% over the actual values. One of the parameters reflecting the amplitude of the respiratory-mediated variations presents an even better approximation with a mean relative error as low as 3.8 ± 3.3%. Our results show that most of the high-sensitivity parameters and also respiratory- related parameters that are specifically considered in our physiologically-based framework can be well approximated regardless of their initial values.
Type de document :
Communication dans un congrès
Computing in Cardiology, 42nd Annual Conference, Sep 2015, Nice, France. IEEE, 2015 Computing in Cardiology Conference (CinC) <http://www.cinc2015.org/>. <10.1109/CIC.2015.7410986>
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01302628
Contributeur : Vicente Zarzoso <>
Soumis le : jeudi 14 avril 2016 - 16:38:07
Dernière modification le : vendredi 15 avril 2016 - 01:07:30
Document(s) archivé(s) le : vendredi 15 juillet 2016 - 14:00:22

Fichier

263_CinCFinalPDF.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

UNICE | I3S

Citation

Layli Goldoozian, Antonio Hidalgo-Muñoz, Vicente Zarzoso, Edmond Zahedi. Parameter Estimation of a Mathematical Model Describing the Cardiovascular-Respiratory Interaction. Computing in Cardiology, 42nd Annual Conference, Sep 2015, Nice, France. IEEE, 2015 Computing in Cardiology Conference (CinC) <http://www.cinc2015.org/>. <10.1109/CIC.2015.7410986>. <hal-01302628>

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de
la notice

93

Téléchargements du document

52

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD