Design Of Intelligent Cardiopulmonary Resuscitation Machine And Research On Adaptive Impedance Control Method

Cardiac arrest is a serious disease that endangers human life,killing nearly one million people every year.Cardiopulmonary resuscitation（CPR）is a commonly used rescue method for patients with cardiac arrest,which can effectively maintain the life of the patient.However,when medical staff perform CPR,there are many obstacles,such as difficulty in controlling the frequency and depth of compressions;unable to perform long-term compressions due to physical problems;the risk of infection caused by close contact and artificial respiration.CPR machines offer a new direction to address these issues.However,the CPR machines on the market lack self-adaptation,and the working mode is fixed,so the effect is not satisfactory.In this paper,a CPR machine based on impedance control strategy was designed.The machine uses a servo motor as a power source and can perform high-quality closed cardiac massage on patients.First,the development of CPR and the research status of CPR machines at home and abroad were introduced in this paper.The technical problems of manual closed cardiac massage were summarized,and the technical route of our research was determined.The structural design of the CPR machine was introduced,including the design of the transmission system,the selection and calculation of key components,and the design and implementation of the servo drive system.Second,physiological indicators to assess blood flow and fracture risk were identified.In order to ensure the pressing effect and safety,an adaptive impedance control algorithm was proposed.After completing one compression,the algorithm adjusts the impedance model and plans the next compression according to the patient’s clinical condition and potential fracture risk.Impedance control shows compliance and yield in the elasticity of the sternum,and generates the motion trajectory of the compression head according to the size of the elasticity,which further reduces the risk of fracture.Finally,a semi-physical experimental platform was built to verify the effects of the proposed CPR machine and intelligent control algorithm.The experimental platform consists of medical human body model,blood circulation simulation model,industrial computer and other parts.The experimental results show that the proposed CPR machine and algorithm are effective.At the end of the paper,our work was summarized and the future research direction was discussed.