| In recent years,the aging of China’s population has become increasingly severe.Elderly people have the characteristics of high prevalence of chronic diseases and high mortality.Under the condition of unbalanced distribution of medical resources,the monitoring of this group often has such problems as untimely monitoring,high cost of professional staff and difficulty in multi-parameter monitoring.Therefore,combining with the relatively developed Internet technology in China,it is of great significance to develop a real-time monitoring system of multiple physiological parameters that can satisfy the all-weather needs of the elderly.After fully considering Bluetooth and mobile communication network access,this thesis proposes a heterogeneous fusion scheme of traditional C/S and B/S networks to realize seamless data connection,and finally develops a set of multi-physiological parameters remote real-time monitoring system.The system has the characteristics of fast response speed and strong sharing.It can not only solve the problems of daily monitoring and health care for the elderly,but also relieve the pressure of medical resources in China.It can also be applied to the family community pension service scene to provide technical support for the community smart pension model.Firstly,the characteristics of physiological signals are studied and analyzed in this thesis.Through parameter fusion,a multi-physiological parameter data protocol is designed for real-time transmission.Then,the Bluetooth to TCP relay software is designed by using the strategy of data shunting and automatic reconnection to realize the data relay transmission from short distance to long distance.Then,based on the characteristics of node.js to develop high-performance Web services and MongoDB database high performance and easy to deploy,A heterogeneous fusion scheme for servers is proposed.That is,TCP server is used to achieve real-time data acquisition and storage,Shared through the database,HTTP server is used to support the user and data interaction business logic.Then based on the front-end componentization idea,the React framework and Ant Design were adopted to develop the Web user interaction system,and the functions of visualization,paging and export of multiple physiological parameters were realized by combining HTML5 technology.At the end of this thesis,the real-time ECG preprocessing algorithm is studied to optimize the ECG waveform and make it portable to the system,which is easy to implement in JavaScript language.After testing,the system runs under the condition of 1 core 2G and 1Mbps Ali cloud server,and the real-time dynamic data shows that the delay is stable around 4s,and it can simultaneously satisfy the real-time monitoring of multiple parameters for 5 users.The software system is characterized by strong traceability,good integrity,good consistency,high security,strong robustness,low failure rate,high modularity,simplicity,strong platform independence and strong scalability. |