A mathematical model of the cardiovascular system successfully predicted steady-state values for dependent variables such as cardiac output and pressures compared with experimental data.
This mathematical model provides a useful framework for understanding the steady-state mechanical hemodynamics of the cardiovascular system.
The cardiovascular system is analyzed as a feedback regulator. The controlling system is identified as being the medullary cardiovascular centers as well as those endocrine glands which operate upon the heart and blood vessels; the controlled system comprises the mechanical and gas exchanger elements of the cardiovascular system. The present analysis is restriced to the mechanical section of the controlled system. Equations are first formulated to define the steady-state operation of an isolated ventricle and of an isolated "circuit." Two ventricles are then combined with a single "open" circuit, the pulmonary, to obtain equations describing the operation of the Starling heart-lung preparation. Finally, the system is "closed" by introducing a second circuit, the systemic, and equations are obtained for the behavior of this complete mechanical system. These equations define steady-state valvues for each of the system's dependent variables (cardiac output; ventricular volumes and work; systemic arterial and venous pressures; pulmonary arterial and venous pressures; systemic and pulmonary blood volumes and their distribution between artery and vein) for any given set of values for the 14 independent variables (cardiac frequency; "strength," viscance, and compliance of each ventricle; systemic and pulmonary arteriolar resistances; systemic arterial and venous compliances; pulmonary arterial and venous compliances; and total blood volume). Comparison of predicted behavior with experimetal data indicates that the mathematical model so obtained is a useful one.
Fred S. Grodins (Mon,) conducted a other in Cardiovascular hemodynamics. Mathematical model of cardiovascular hemodynamics vs. Experimental data was evaluated on Steady-state values for dependent variables (cardiac output, ventricular volumes and work, pressures, blood volumes). A mathematical model of the cardiovascular system successfully predicted steady-state values for dependent variables such as cardiac output and pressures compared with experimental data.