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机构地区:[1]广东药学院医药信息工程学院,广州510006
出 处:《生物医学工程学杂志》2015年第1期32-37,共6页Journal of Biomedical Engineering
基 金:红十字会省级应急救护培训平台建设项目资助(21012-41)
摘 要: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。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.
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