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引用次数: 0
摘要
本研究旨在通过优化心肺复苏(CPR)外力控制参数，改善心脏骤停时主动脉压和心肌灌注压。本文所描述的心肺复苏术技术是带有增强体外反搏和吸气阻抗阈值阀(AEI-CPR)的主动加减压心肺复苏术。在已建立的人体循环系统数学模型上，应用遗传算法(GA)获得了AEI-CPR的最优外力控制参数。算法运行三次后，得到三组最优控制参数。模型平均运行次数为149次。当按压频率为110 min -1左右，胸按压结束后开始下肢按压时，血流动力学效果明显。
Optimization of Multiple Control Parameters of Mathematical Model of Cardiopulmonary Resuscitation Based on Genetic Algorithm
The objective of the study is to improve the aortic pressure and myocardial perfusion pressure during cardiac arrest through optimized control parameters of external force for cardiopulmonary resuscitation (CPR). The CPR technology described in this paper was active compression-decompression CPR with enhanced external counter-pulsation and inspiratory impedance threshold valve (AEI-CPR). A genetic algorithm (GA) was applied on an established mathematical model of human circulatory system to obtain optimum control parameters of external force for AEI-CPR. Three groups of optimal control parameters were found after running the algorithm for three times. The average number of model running was 149. Obvious hemodynamic effect was attained when the frequency of compression was about 110 min -1 and the lower limbs compression began at the end of chest compression.
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