Cai Yongming, Gu Lingyan, Chen Fuhua
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2015 Feb;32(1):32-7.
It is difficult to select the appropriate ventilation mode in clinical mechanical ventilation. This paper presents a nonlinear multi-compartment lung model to solve the difficulty. The purpose is to optimize respiratory airflow patterns and get the minimum of the work of inspiratory phrase and lung volume acceleration, minimum of the elastic potential energy and rapidity of airflow rate changes of expiratory phrase. Sigmoidal function is used to smooth the respiratory function of nonlinear equations. The equations are established to solve nonlinear boundary conditions BVP, and finally the problem was solved with gradient descent method. Experimental results showed that lung volume and the rate of airflow after optimization had good sensitivity and convergence speed. The results provide a theoretical basis for the development of multivariable controller monitoring critically ill mechanically ventilated patients.
在临床机械通气中选择合适的通气模式是困难的。本文提出了一种非线性多房室肺模型来解决这一难题。目的是优化呼吸气流模式，使吸气相功和肺容积加速度最小化，使弹性势能最小化，并使呼气相气流速率变化迅速。采用Sigmoid函数对非线性方程的呼吸功能进行平滑处理。建立方程以求解非线性边界条件BVP，最后用梯度下降法解决该问题。实验结果表明，优化后的肺容积和气流速率具有良好的敏感性和收敛速度。这些结果为开发用于监测重症机械通气患者的多变量控制器提供了理论依据。
