Design And Optimization Of Intelligent Medical Monitoring System

With the development of our country's economy,the proportion of people with chronic diseases and sub-health is increasing year by year,and the concept of wireless Internet of things for individual physical signs parameter monitoring is put forward.Through the combination of medical system and Internet of things,remote monitoring of human physiological parameters information.At the same time,continuous measurement of blood pressure,heart rate,blood oxygen saturation and body temperature can reflect the physiological status of patients in real time,and play a vital role in the prevention of diseases and emergencies.Under this background,this paper designs an intelligent medical monitoring system,which is composed of front-end monitoring hardware equipment and the medical monitoring platform,which can realize the wireless sign parameter collection and transmission,and improve the efficiency of nurse monitoring,but also enhance the clinical feelings of patients.Among them,the front-end hardware monitoring equipment includes: blood pressure monitoring module,physical sign parameter monitoring module and Lora base station;the system server and nurse station client constitute the medical monitoring platform together.The system can be used in hospital and community medical scenes,and can also be extended to home or personal health monitoring,with the function of collecting and sending blood pressure,heart rate,oxygen saturation and body temperature data.For the function of blood pressure monitoring,the method of collecting signals by photoelectric sensor can get rid of the shackles of cuff band and improve comfort,but its measurement accuracy and stability are always difficult problems in application.This paper uses the wavelet Mallat algorithm to process the collected pulse wave signal,uses two PPG signals to obtain the pulse wave conduction time,and then combines the individualized parameter calibration method proposed in this paper to determine the estimation model of the exclusive subject to be,and further improves the accuracy and stability of blood pressure measurement.All parameter data are sent to the Lora base station in real time by Lora wireless communication,and then uploaded to the medical monitoring platform by the base station.the monitoring platform can display,store and manage all the data of the monitored object in real time,so as to realize the purpose of real-time monitoring.it has positive significance to improve the working efficiency of the hospital,the clinical feeling of the patients after operation and the real-time monitoring of the physical signs information of the patients in intensive care.Finally,the integration designs the concrete hardware system physical object,and uses the Java language to develop the corresponding monitoring platform based on the MVC pattern.the page design is concise and includes four parts: patient information management,monitoring interface design,data management and user management.Through the function verification and analysis,each function module of the system can meet the design requirements,the performance is stable and reliable,the operation is simple and convenient,the system is small in size and low in power consumption,and the power supply module can meet the long time monitoring requirements,which has certain application value in the field of medical monitoring.