Research On Wireless Information Collection And Health Information Management System With Internet Of Things

Health is one of goals for humanity pursued.Effective management of health information is a matter of urgent concern to people.At present,we need use modern information technology to improve the management of health information,and make it for family or community.However,the performance of health products on the market is not perfect,such as the detection is not convenient and the information is incomplete,even mobile devices and cloud server connection is not fast enough.Based on this trend and research status,this topic puts forward the research of wireless information collection and health information management system with Internet of Things.The system collects the physiological parameters such as temperature,ECG,blood pressure,blood glucose,blood oxygen saturation and so on.Using the wireless module transfer the physiological parameters to the mobile device,and the mobile device receives and displays the physiological parameters.Meanwhile,high-performance health management cloud service system would be designed to receive the physiological data what the mobile devices or acquisition equipment transferred and then the data would be saved in the database.The main work of this paper are follows:(1)Design wireless communication protocol and mobile program.Communication method in physiological parameter acquisition device and wireless communication module.In order to transmit the physiological data better,the basic communication protocol of the acquisition equipment is designed,which effectively implements the connection procedure of the acquisition module network direct and mobile multi-Bluetooth multi-acquisition device.(2)Deal with physiological waveform noise.This paper analyzes the characteristics of pulse wave signal and the type of noise interference.In view of the shortcomings of EDM(Empirical Mode Decomposition),EEMD(Ensemble Empirical Mode Decomposition)and CEEMDAN(The Complete Ensemble Empirical Mode Decomposition with Adaptive Nosie).The improved CEEMDAN algorithm is used to denoise the pulse wave waveform,which improves the accuracy and anti-jamming of the acquisition equipment.(3)Design a health management system cloud server.It is proposed to use DUBBO micro service architecture to complete the background scheduling system,and optimize the query time of the database table.Completing the server front-end and real-time curve rendering architecture.Focus high concurrent problem research on the server and optimize the cloud server access delay.(4)The system is tested and analyzed from many aspects.Including the success rate,timeconsuming and transmission throughput of the multi-Bluetooth connection on the mobile.At the same time,the improved CEEDMAN algorithm is used to denoise the power of the actual pulse wave signal processing.The measurement results of the medical equipment are compared with the results of the acquisition equipment,the results of the comparison show that the accuracy of the data collected by the acquisition device meets the design requirements.In the server performance,using relevant test tools on the server's compression capacity to calculate and the calculation results show that the server can withstand millions of requests every day.