This paper presents the results of research focused on the adaptation of a hybrid simulator of the human circulatory system to the physical reproduction of the haemodynamic conditions prevailing in the apex of the heart. This report describes the principle of operation of the hybrid simulator and presents two methods of its modification. The work includes analysis of the algorithm verification and describes problems that appeared during research. A comparison of the results obtained for both modification methods is shown, as well as preliminary simulation results for a constant-flow ventricle assist device joined to the hybrid simulator operating in the apex of the heart-aorta configuration.
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A hybrid (Hydro-numerical) model of blood circulation developed at the Institute of Biocybernetics and Biomedical Engineering (IBIB) of the Polish Academy of Sciences (PAN) -Warsaw, Poland, in co-operation with the Institute of Clinical Physiology (IFC) of the National Council of Research (CNR) - Rome, Italy, is a basic model of this type solutions commonly accepted by the researchers. It is able to simulate all essential hemodynamic functions of the human cardiovascular system including the heart. During last years, resumption of works on constant-flow non pulsatile rotary pumps to be used as heart support devices is observed because of their small dimensions and easier way of implantation. Control modes of rotary pumps are different and evidently influence heart support effects. The main aim of this paper was to investigate different control systems of rotary pumps in a role of the assist devices. To fulfill this task on the hybrid model, a special computer application was worked out. The investigations included: a) loading characteristics p(q) of the rotary pump assignment at two values of a control voltage - 18V, 24V; b) physiological and pathological states simulation including parallel atrial-aortic assistance by the rotary pump. The results of the simulations obtained on the model treated as a 'virtual patient' are in agreement with the data received in medical conditions.
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