A software technology providing tuning procedures of a quantitative model of human hemodynamics

R.D. Grygoryan, O.I. Yurchak, А.G. Degoda, T.V. Lyudovyk


Mathematical modeling and specialized software simulators (SSS) based on quantitative models (QM) are modern research tools expanding research opportunities in human physiology. In particular, lumped-parametric models (LPM) of the cardiovascular system (CVS) have been proposed by many authors. However, most models do not include complex mechanisms providing overall control of human circulation. To fill this gap, we had proposed three special models and a concept of their functional integration. The problem is that the integral model is too complex to be manually tuned. To provide effective tuning procedures, special software containing autonomic modules for the solving equations of each model is proposed. In general, the complex mathematical model (CMM), including both the physiology and the external (inpdynamic ut) influences, is constructed and programmed. The software, taking into account  three main blocks of models, provides their quantitative tuning procedures. The first block describes the self-regulation of human hemodynamics in a 23-compartmental lumped-parametric model (LPM) of the cardiovascular system (CVS). The second block describes eight physiological mechanisms independently providing CVS’s acute and long-term control in body horizontal, sitting, and vertical positions. The third block describes external/internal dynamic influences on CVS. The model creator, due to SSS, can manually set values of both compartments’ 92 parameters and sensitivity constants of every physiological mechanism. Special tuning tools allow the modeler to imitate a certain number of tests and to build graphs of hemodynamic responses to the chosen test.

Prombles in programming 2020; 4: 03-13


cardiovascular system; modeling; software technology; simulation


Larrabide I., Blanco P.J., Urquiza S.A., Dari E.A., Ve'nere M.J., de Souza e Silva N.A., Feijo' R.A. HeMoLab - Hemodynamics Modelling Laboratory: An application for modelling the human cardiovascular system. Computers in Biology and Medicine. 2012. V. 42. P. 993-1004 CrossRef

Fresiello L., Ferrari G., Di Molfetta A., Zieliński K., Tzallas A., Jacobs S., et al. A cardiovascular simulator tailored for training and clinical uses. J Biomed Inform. 2015. V. 57. P. 100-112. CrossRef

Grygoryan R.D. Problem-oriented computer simulators for solving of theoretical and applied tasks of human physiology. Problems of programming. 2017. N 3. Р. 102-111. CrossRef

Grygoryan R.D., Aksenova T.V., Degoda A.G. A computer simulator of mechanisms providing energy balance in human cells. Cybernetics and computing technologies. 2017. N 2 (188). P. 65-73. (Rus). CrossRef

Grygoryan R.D., Lissov P.N., Aksenova T.V., Moroz A.G. The specialized software-modeling complex "PhysiolResp". Problems of programming. 2009. V. 2. P.140-150 (Rus).

Grygoryan R.D., Lissov P.N. A software-simulator of human cardiovascular system based on its mathematical model. Problems of programming. 2004. N 4. С. 100-111 (Rus).

Grygoryan R.D., Degoda A.G., Dzhurinsky Y.A., Kharsun V.S. A simulator of pulsatile heart. Problems of programming. 2017. N 4. С. 98-108 (Rus.). CrossRef

Grygoryan R.D., Degoda A.G., Kharsun V.S., Dzhurinsky Y.A. A simulator of mechanisms of acute control of human hemodynamics. Problems of program-ming. 2019. V.1. P. 90-98. (Rus.) CrossRef

Grygoryan R.D., Degoda A.G., Dzhurinsky Y.A. A simulator of mechanisms of long-term control of human hemodynamics. Problems of programming. 2019. V. 4. P. 111-120. CrossRef

Grygoryan R.D. The optimal circulation: cells' contribution to arterial pressure. 2017. Nova Science. N.Y. 298 p.

Grygoryan R.D. The unknown aspects of arterial pressure. Znanstvena misel journal. 2019. V. 33. P. 19-23.

DOI: https://doi.org/10.15407/pp2020.04.003


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