Optimization of Multiple Control Parameters of Mathematical Model of Cardiopulmonary Resuscitation Based on Genetic Algorithm
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). Method: 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. Results: Three groups of optimal control parameters were found after running the algorithm for three times. The average number of model running was 149. Conclusions: Obvious hemodynamic effect was attained when the frequency of compression was about 110min-1 and the lower limbs compression began at the end of chest compression.
genetic algorithm AEI-CPR optimization
Lin Xu Yanru Zhang Xiaoming Wu Hengxin Yuan
School of Computer Science and Engineering South China University of Technology,SCUT Guangzhou,P.R.C School of Bioscience and Bioengineering South China University of Technology,SCUT Guangzhou,P.R.Chin Institute of Biomedical Engineering Sun Yat-Sen University,SYSU Guangzhou,P.R.China
国际会议
北京
英文
1-4
2009-06-11（万方平台首次上网日期，不代表论文的发表时间）