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在临床机械通气过程中选择合适通气模式是一个难点。本文采用非线性多室肺模型并优化呼吸气流模式得到呼吸气周期的最小呼吸功、最小辅助吸入量、最小呼吸周期弹性势能和气流速率变化。使用sigmoidal函数对建立的非线性呼吸功能方程进行平滑处理后转化成求解非线性边界条件的两点边值问题,最后使用梯度下降法求解。实验结果表明肺容积和气流速率经过优化后具体良好的敏感性和收敛速度。研究结果为开发多变量控制器机械通气监护重症患者提供理论基础。
Choosing the right ventilation mode during clinical mechanical ventilation is a challenge. In this paper, we use the non-linear multi-compartment lung model and optimize the respiratory airflow model to obtain the minimum respiratory work, the minimum assisted breathing, the minimum potential energy of the respiratory cycle and the change of the air flow rate. The sigmoidal function is used to smooth the established nonlinear respiratory function equation and then transformed into a two-point boundary value problem for solving nonlinear boundary conditions. Finally, the gradient descent method is used to solve the problem. Experimental results show that lung volume and airflow rate are optimized for good sensitivity and convergence rate. The results provide a theoretical basis for the development of multivariable controller mechanical ventilation monitoring critically ill patients.