Optimization of Multiple Control Parameters of Mathematical Model of Cardiopulmonary Resuscitation Based on Genetic Algorithm

Author

Xu, Lin ; Zhang, Yanru ; Wu, Xiaoming ; Yuan, Hengxin

Author_Institution

Sch. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou, China

fYear

2009

fDate

11-13 June 2009

Firstpage

1

Lastpage

4

Abstract

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.

Keywords

blood vessels; cardiovascular system; genetic algorithms; haemodynamics; medical control systems; muscle; physiological models; active compression-decompression CPR; aortic pressure; cardiopulmonary resuscitation; chest compression; enhanced external counter-pulsation; genetic algorithm; hemodynamic effect; human circulatory system; inspiratory impedance threshold valve; lower limb compression; mathematical model; multiple control parameter; myocardial perfusion pressure; Cardiac arrest; Cardiology; Force control; Genetic algorithms; Humans; Impedance; Mathematical model; Myocardium; Pressure control; Valves;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-2901-1

Electronic_ISBN

978-1-4244-2902-8

Type

conf

DOI

10.1109/ICBBE.2009.5163157

Filename

5163157