A computational model of the human respiratory control system: responses to hypoxia and hypercapnia.

摘要: Although recent models offer realistic descriptions of the human respiratory system, they do not fulfill all characteristics a stable, comprehensive model, which would allow us to evaluate variety hypotheses on control breathing. None completely gaseous components blood, and their description delays associated with propagation changes in partial pressures gases between lungs brain tissue compartments have shortcomings. These deficiencies are particular significance an analysis periodic breathing where dynamic alterations circulation blood chemical stimuli likely assume considerable importance. We developed computational model system is extension Grodins et al. (F. S. Grodins, J. Buell, A. Bart. Appl. Physiol. 22(2):260–276, 1967). Our combines accurate plant novel controller design that treats minute ventilation as sum central peripheral components. To ensure stable sufficiently robust act test platform for about ventilation, we simulated series challenging physiological conditions, specifically, response eucapnic hypoxia, development during hypocapnic open loop hypercapnic step. steady state transient responses were compared results from similar experiments. simulations suggest value arterial $${\text{P}}_{{\text{O}}_2}$$ , difference $${\text{P}}_{{\text{CO}}_2}$$ remains approximately constant function . The indicates hypoxia-induced cerebral flow contribute significantly ventilatory decline observed hypoxia. exibits hypoxic-induced breathing, can be eliminated by small increases $${\text{F}}_{{\text{I}}_{{\text{CO}}_2}}$$ dynamics model's approximates experimental data well.