Department of Electronics and Automation, Istanbul Aydin University, Istanbul, Turkey.
Department of Electronics and Communication Engineering, Yildiz Technical University, Istanbul, Turkey.
Med Biol Eng Comput. 2022 Jul;60(7):1863-1879. doi: 10.1007/s11517-022-02585-1. Epub 2022 May 4.
In this study, a computational model was proposed to assess the interaction among systemic arteriolar resistance control, heart rate control, ventricular elastance control, venous compliance control, respiratory control, cerebral autoregulation mechanisms, and cerebral CO reactivity for both healthy and heart failure conditions. The aim of the study is to develop a computational model to evaluate cerebral blood flow rate during exercise for both healthy and systolic heart failure conditions. The simulations were performed at rest and during exercise. Furthermore, Monte Carlo analysis was used to estimate the range of the controlled parameters for each condition. The mean arterial pressure increased progressively with respect to workload during exercise in both healthy and heart failure conditions. Total cerebral blood flow rate was found 730 mL/min at rest in the healthy cardiovascular system model. As for the simulation during exercise, the increments in cerebral blood flow rate were 11% at 25 W workload, 20% at 50 W workload, and 24% at 75 W workload. The left ventricular ejection fraction decreased from 54 to 26% in the cardiovascular model simulating heart failure. Also, total cerebral blood flow rate decreased to 604 mL/min at rest in the cardiovascular system model simulating heart failure. The increments in cerebral blood flow rate in the simulation during exercise were 14% at 25 W workload, 24% at 50 W workload, and 30% at 75 W workload in the case of heart failure. The proposed numerical model simulates cerebral blood flow rate within physiological range during exercise and heart failure.
在这项研究中，提出了一种计算模型，用于评估系统性小动脉阻力控制、心率控制、心室弹性控制、静脉顺应性控制、呼吸控制、脑自动调节机制和脑 CO 反应性之间的相互作用，用于健康和心力衰竭两种情况。该研究的目的是开发一种计算模型，用于评估健康和收缩性心力衰竭两种情况下运动时的脑血流量。模拟在休息和运动时进行。此外，还使用蒙特卡罗分析来估计每种情况下受控参数的范围。在健康和心力衰竭两种情况下，运动期间平均动脉压随工作量逐渐增加。在健康心血管系统模型中，静息时总脑血流量为 730 mL/min。对于运动期间的模拟，脑血流量的增加分别为 25 W 工作量时增加 11%，50 W 工作量时增加 20%，75 W 工作量时增加 24%。模拟心力衰竭的心血管模型中左心室射血分数从 54%下降到 26%。此外，模拟心力衰竭的心血管系统模型中静息时总脑血流量降至 604 mL/min。在心力衰竭的情况下，25 W 工作量时脑血流量的增加为 14%，50 W 工作量时脑血流量的增加为 24%，75 W 工作量时脑血流量的增加为 30%。所提出的数值模型模拟了运动和心力衰竭期间的生理范围内的脑血流量。
