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“Optimal Control applied to a CPR model with chest and abdominal pressures”

机译:“将最佳控制应用于具有胸部和腹部压力的CPR模型”

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摘要

Summary form only given. Techniques of optimal control are applied to a blood circulation model of cardiopulmonary resuscitation (CPR), which is described by a nonlinear system of seven difference equations. The variables are the pressures in the seven components of the model, namely: abdominal aorta, inferior vena cava, carotid arteries, jugular veins, thoracic aorta, right heart and superior vena cava, and thoracic pump (pulmonary vasculature and left heart). Forcing terms, representing chest and abdominal pressures, act as controls. The controls at two previous time steps give input to the seven pressure components at the current time step, which is a novel feature from the control viewpoint. We seek to maximize the blood flow, as measured by the systemic perfusion pressure, i.e., the pressure difference between the thoracic aorta and the right heart, summed over all the time steps. In principle, an increase in the blood flow would result in an increase of the surviving rates of the CPR procedure. By applying optimal control methods, we characterize the optimal waveforms for external chest and abdominal compression/decompression in terms of the original model coupled with corresponding adjoint equations. Numerical results for several scenarios are given, calculated using an iterative method. The optimal waveforms confirm the positive effects of active decompression and interposed abdominal compression.
机译:仅提供摘要表格。最佳控制技术应用于心肺复苏(CPR)的血液循环模型,该模型由七个差分方程的非线性系统描述。变量是模型七个组成部分中的压力,即:腹主动脉,下腔静脉,颈动脉,颈静脉,胸主动脉,右心和上腔静脉以及胸腔泵(肺血管和左心)。代表胸部和腹部压力的强迫项充当对照。前两个时间步长的控件将输入当前时间步长的七个压力分量,这从控件角度来看是一个新颖的功能。我们力求使血流最大化,这是通过全身灌注压力(即胸主动脉和右心之间的压差)衡量的,在所有时间步长中求和。原则上,血流量的增加将导致CPR程序的存活率增加。通过应用最佳控制方法,我们根据原始模型与相应的伴随方程式,对外部胸部和腹部压缩/减压的最佳波形进行了表征。给出了几种方案的数值结果,使用迭代方法进行计算。最佳波形证实了主动减压和介入腹部压迫的积极作用。

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