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
Link To Document :
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