Journal of South China University of Technology (Natural Science Edition) ›› 2009, Vol. 37 ›› Issue (12): 95-99.

• Biological Engineering • Previous Articles     Next Articles

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

Xu Lin1  Wu Xiao-ming2  Zhang Yan-ru1  Yuan Heng-xin3   

  1. 1. School of Computer Science and Engineering, South China University of Technology, Guangzhou 510640, Guangdong, China; 2. School of Biological Science and Engineering, South China University of Technology, Guangzhou 510006, Guangdong, China; 3. Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
  • Received:2008-12-16 Revised:2009-03-08 Online:2009-12-25 Published:2009-12-25
  • Contact: 徐林(1975-),女,博士生,主要从事生理系统的仿真、建模及其模型的优化研究. E-mail:conyxu@163.com
  • About author:徐林(1975-),女,博士生,主要从事生理系统的仿真、建模及其模型的优化研究.
  • Supported by:

    国家自然科学基金资助项目(30670538)

Abstract:

Active compression-decompression cardiopulmonary resuscitation (CPR) with enhanced external counterpulsation and inspiratory impedance threshold valve, namely, AEI-CPR, helps to achieve excellent hemodynamic effect. However, the resuscitation effect is subjected to the influence of the external force. In this paper, an efficient algorithm for NP complete combinatorial optimization problem, namely, simulated annealing algorithm, is used to optimize the control parameters of the external force for AEI-CPR based on an established mathematical model, with the average coronary perfusion pressure as the objective function. Optimization results show that optimal hemodynamic effect can be achieved when the maximum chest compression, chest decompression and lower limbs compression are respectively 438 N, 199 N and 390mmHg with a frequency of 102 min-1, and when the compression on calf, thigh and hip is in a time sequence of 0. 20, 0. 21 and 0.22 s.

Key words: cardiopulmonary resuscitation, mathematical model, optimization, simulated annealing algorithm, coronary perfusion pressure