Key result
A lumped mathematical model of the human cardiorespiratory system provided physiologically consistent predictions of hemodynamic variables and gas partial pressures under rest and exercise conditions.
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This study presents a sophisticated, integrated mathematical model of the human cardiorespiratory system capable of simulating hemodynamic and gas transport variables under varying physiological conditions.
This study presents a lumped model for the human cardiorespiratory system. Specifically, we incorporate a sophisticated gas dissociation and transport system to a fully integrated cardiovascular and pulmonary model. The model provides physiologically consistent predictions in terms of hemodynamic variables such as pressure, flow rate, gas partial pressures, and pH. We perform numerical simulations to evaluate the behavior of the partial pressures of oxygen and carbon dioxide in different vascular and pulmonary compartments. For this, we design the rest condition with low oxygen requirements and carbon dioxide production and exercise conditions with high oxygen demand and carbon dioxide production. Furthermore, model sensitivity to more relevant model parameters is studied.
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Trenhago et al. (2015) studied this question. Mathematical model of the cardiorespiratory system was evaluated on Hemodynamic variables (pressure, flow rate, gas partial pressures, and pH). A lumped mathematical model of the human cardiorespiratory system provided physiologically consistent predictions of hemodynamic variables and gas partial pressures under rest and exercise conditions.
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