A lung model considering age, sex and height: an in-silico study - gas exchange

Abstract

In this paper, we present an in-silico study of simulating the respiratory system of a healthy cohort depending on age, sex and height by focusing on the individual gas exchange. The virtual cohort simulation, consisting of the lung mechanics and the gas exchange, can be used to test automated functions in highly automated ventilators. To achieve this, a gas exchange model is adapted with the goal to represent the changes in gas exchange by the influence of age, sex and height. For evaluating the individual gas exchange, the arterial partial pressures of oxygen and carbon dioxide are of particular interest. First cohort simulations show a decreasing arterial partial pressure of oxygen with increasing age, while the arterial partial pressure of carbon dioxide increases slightly. Those simulation results are in good agreement with the literature data.