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模拟仿真胸外按压生理反馈参数,使急救人员从患者本身生理变化角度全面准确地了解掌握胸外按压质量,对提高心肺复苏急救培训效率和胸外按压急救水平均具有重要意义。本文基于Charles F.Babbs心肺复苏血液循环模型,建立了胸外按压关键生理反馈参数模型,对心输出量(CO)、冠脉灌注压(CPP)、呼吸末二氧化碳(PETCO2)分压和平均动脉舒张压(MARP)进行了计算机仿真。仿真结果显示,在按压频率为100次/min以上时,按压频率变化对胸外按压生理反馈参数的影响远远小于按压深度,按压深度成为影响生理反馈参数的主要因素;在按压频率和按压深度保持不变的情况下,胸泵因子与胸外按压生理反馈参数成反比。该模型能够准确模拟不同情况下的胸外按压生理反馈参数,仿真结果与动物实验结果和临床观测结果一致。
It is of great significance for emergency responders to have a comprehensive and accurate understanding of the quality of chest compressions from the physiological changes of patients themselves, and to improve the efficiency of emergency training of cardiopulmonary resuscitation and emergency chest compressions. Based on the Charles F.Babbs cardiopulmonary resuscitation blood circulation model, this paper established a model of key physiological feedback parameters for chest compressions. The effects of cardiac output (CO), coronary perfusion pressure (CPP), partial pressure of PETCO2 and mean arterial pressure Diastolic blood pressure (MARP) was simulated by computer. The simulation results show that when the pressing frequency is 100 times / min or more, the influence of the change of the press frequency on the physiological feedback parameters of chest compressions is far less than the press depth, and the press depth becomes the main factor that affects the physiological feedback parameters; at the press frequency and the press depth Under the same condition, the factor of chest pump is inversely proportional to the physiological parameter of chest compression. The model can accurately simulate the physiological parameters of chest compressions under different conditions, and the simulation results are consistent with the animal experimental results and clinical observation results.