• DocumentCode
    3562179
  • Title

    Quantitative insights into the closed loop cardiovascular system using an electrical lumped element physiological model

  • Author

    Tsanas, Athanasios ; Clifford, Gari D. ; Vartela, Vassiliki ; Sfirakis, Petros

  • Author_Institution
    Univ. of Oxford, Oxford, UK
  • fYear
    2014
  • Firstpage
    509
  • Lastpage
    512
  • Abstract
    This study extends a comprehensive closed-loop physiological model of the circulatory system based on lumped electrical analogue components. The model associates subject specific factors such as age, gender, body surface area, fitness and smoking habits, with cardiovascular parameters including vascular blood pressures, blood volumes, and cardiac output, providing physiological insight via the interpretation of the model´s parameters. The model parameters were determined using multi-objective constrained optimization in a typical inverse problem setup, and were subsequently associated with the subject specific factors using least squares polynomial relationships with ℓ1-ℓ2-norm regularization. We validated the performance of the model using data from 289 subjects, replicating arterial blood pressure accurately (about 4.8% relative deviation from the measured values), whilst also providing physiologically realistic estimates of vascular blood pressures, blood volumes, and cardiac output.
  • Keywords
    cardiovascular system; closed loop systems; equivalent circuits; inverse problems; least squares approximations; lumped parameter networks; optimisation; physiological models; polynomial approximation; arterial blood pressure; blood volume; cardiac output; cardiovascular parameter; circulatory system; closed loop cardiovascular system; electrical lumped element physiological model; inverse problem setup; least squares polynomial relationship; lumped electrical analogue component; multiobjective constrained optimization; vascular blood pressure; Abstracts; Computational efficiency; Immune system; Physiology; Resistance; Standards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology Conference (CinC), 2014
  • ISSN
    2325-8861
  • Print_ISBN
    978-1-4799-4346-3
  • Type

    conf

  • Filename
    7043091