Cardiovascular Modeling Software Tools in Medicine
Authors: J. Fernandez, R. Fernandez de Canete, J. Perea-Paizal, J. C. Ramos-Diaz
Abstract:
The high prevalence of cardiovascular diseases has provoked a raising interest in the development of mathematical models in order to evaluate the cardiovascular function both under physiological and pathological conditions. In this paper, a physical model of the cardiovascular system with intrinsic regulation is presented and implemented by using the object-oriented Modelica simulation software tools. For this task, a multi-compartmental system previously validated with physiological data has been built, based on the interconnection of cardiovascular elements such as resistances, capacitances and pumping among others, by following an electrohydraulic analogy. The results obtained under both physiological and pathological scenarios provide an easy interpretative key to analyze the hemodynamic behavior of the patient. The described approach represents a valuable tool in the teaching of physiology for graduate medical and nursing students among others.
Keywords: Cardiovascular system, Modelica simulation software, physical modeling, teaching tool.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1132543
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1258References:
[1] A. C. Guyton, J. E. Hall, Textbook of Medical Physiology, ninth ed., W.B. Saunders, New York, NY, 1996.
[2] E. B. Shim, J. Y. Sah, C. H. Youn, “Mathematical modeling of cardiovascular system dynamics using a lumped parameter method”, Jpn J Physiol., vol. 54(6), 2004, pp. 545-553.
[3] M. J. Conlon, D. L. Russell, T. Mussivand, “Development of a mathematical model of the human circulatory system”, Ann Biomed Eng., vol. 34(9), 2006, pp. 400-413.
[4] M. Abdolrazaghi, M. Navidbakhsh, K. Hassani, “Mathematical modelling and electrical analog equivalent of the human cardiovascular system”, Cardiovasc Eng., vol. 10(2), 2010, pp. 45-51.
[5] A. Brunberg, S. Heinke, J. Spillner, R. Autschbach, D. Abel, S. Leonhardt, “Modeling and simulation of the cardiovascular system: a review of applications, methods, and potentials”, Biomed Tech, vol. 54(5), 2009, pp. 233-244.
[6] C. De Lazzari, I. Genuini, D.M. Pisanelli, A. D’Ambrosi, F. Fedele, “Interactive simulator for e-Learning environments: A teaching software for health care professionals”, Biomed Eng. Online vol. 13, 2014, pp. 172-191.
[7] J. Kofranek, J. Rusz, “Restoration of Guyton's diagram for regulation of the circulation as a basis for quantitative physiological model development”, Physiol. Res, vol. 59, 2010, pp. 897–908.
[8] S. T. Harris, Introduction to Simulink: With Engineering Applications, Orchard Publications, 2008.
[9] G. Zauner, D. Leitner, F. Breitenecker, “Modeling structural dynamic systems in Modelica/Dymola, Modelica/Mosilab and AnyLogic”, in: Proceedings of the International Workshop on Equation-Based Oriented Languages and Tools, 2007.
[10] P. Fritzson, Introduction to Modeling and Simulation of Technical and Physical Systems with Modelica, Wiley-IEEE Press, 2011.
[11] Avanzolini G, Barbini P, Cappello A, Cevenini G (1988). CACDS simulation of the closed-loop cardiovascular system. Int. J. Biomed. Comput. 22:39-49.