In this study, a closed-loop controller for chest compression which adjusts chest compression depth according to the coronary perfusion pressure (CPP) was proposed. An effective and personalized chest compression method for automatic mechanical compression devices was provided, and the traditional and uniform chest compression standard neglecting individual difference was improved. This study rebuilds Charles F. Babbs human circulation model with CPP simulation module and proposes a closed-loop controller based on a fuzzy control algorithm. The performance of the fuzzy controller was evaluated and compared to that of a traditional PID controller in computer simulation studies. The simulation results demonstrated that the fuzzy closed-loop controller produced shorter regulation time, fewer oscillations and smaller overshoot than those of the traditional PID controller and outperforms the traditional PID controller in CPP regulation and maintenance.
Algorithms ; Arterial Pressure ; Cardiopulmonary Resuscitation ; instrumentation ; Computer Simulation ; Coronary Vessels ; physiopathology ; Humans ; Models, Theoretical ; Perfusion ; Thorax

Two main impact factors on accuracy of electronic balance are discussed based on its working principle:acceleration of gravity and temperature variation.Through analysis of interacting variables in acceleration of gravity and electronic balance measurement results,the method of builtin standard weight compensation and its shortages are brought forward and attach the compensation method on weight calibration.The impacts on temperature change for the electronic balance measurement are analyzed,which proposes a method to eliminate these factors.