基于模拟退火算法的双泵心肺复苏术外作用力的优化

大量动物实验结果显示，双泵心肺复苏术可以达到较好的血流动力效果，而心肺复苏术的外力作用是影响其复苏效果的关键。但是，由于心肺复苏术在临床实验中的实施存在极大的困难，因此在已建立的心肺复苏术数学模型上，利用NP完全组合优化问题的有效算法——模拟退火算法，对双泵心肺复苏术外力作用的多个控制参数进行了优化，其目标函数为冠脉灌注压的平均值。优化后的各控制参数的数值均在复苏术外力作用允许的范围内，并实现了较好的血流动力效果，与动物实验的结果相一致。

Optimization of External Force of AEI Cardiopulmonary Resuscitation Based on Simulated Annealing Algorithm

A large number of animal experiments showed that Active compression-decompression cardiopulmonary resuscitation coupled with Enhanced external counter-pulsation and Inspiratory impedance threshold valve (AEI-CPR) could achieve better hemodynamic effect. While external force of AEI-CPR was the key of recovery. However, because of the existence that the implementation of clinical trials for cardiopulmonary resuscitation was very difficult, a mathematical model researched for CPR was built up. Besides, using simulated annealing algorithm, an efficient algorithm for NP complete combinatorial optimization problem, to optimize multi-parameters of external force for AEI-CPR. The objective function of algorithm was the average of coronary perfusion pressure. All of optimization of the control parameters were at the allowable range and achieve better hemodynamic effect and were meet with animal experimental results.