Research on optimization of lower limb parameters of cardiopulmonary resuscitation simulation model based on genetic algorithm.
- Author:
Lin XU
- Publication Type:Journal Article
- MeSH:
Algorithms;
Cardiopulmonary Resuscitation;
Death, Sudden, Cardiac;
Electric Impedance;
Hemodynamics;
Humans;
Leg;
Models, Cardiovascular
- From:
Journal of Biomedical Engineering
2014;31(5):1139-1143
- CountryChina
- Language:Chinese
-
Abstract:
Sudden cardiac arrest is one of the critical clinical syndromes in emergency situations. A cardiopulmonary resuscitation (CPR) is a necessary curing means for those patients with sudden cardiac arrest. In order to simulate effectively the hemodynamic effects of human under AEI-CPR, which is active compression-decompression CPR coupled with enhanced external counter-pulsation and inspiratory impedance threshold valve, and research physiological parameters of each part of lower limbs in more detail, a CPR simulation model established by Babbs was refined. The part of lower limbs was divided into iliac, thigh and calf, which had 15 physiological parameters. Then, these 15 physiological parameters based on genetic algorithm were optimized, and ideal simulation results were obtained finally.