Research And Design Of Wearable Intelligent Monitoring System

With the development of embedded technology,human wearable smart monitoring has attracted attention as a new type of health monitoring method.The wearable intelligent monitoring system not only can realize the real-time reading of physiological parameters of the user,but also can judge and alert the abnormal physiological data and realize intelligent monitoring of the user’s physical state.The research design of this system is mainly composed of three parts: smart terminal,mobile phone APP and server.The smart terminal is composed of a Zig Bee communication module,a Bluetooth module,and various physiological sensors(including temperature,blood pressure,heart rate,and a six-axis sensor)and can collect data on the user’s blood pressure,heart rate,and exercise status.The collected data is transmitted through the Bluetooth module(Bluetooth 4.1)Transmission to mobile phone APP;mobile phone APP can display real-time display of received data,and can be transmitted to back-end server through 3G/4G network of mobile phone;Hadoop data storage system built by server can classify various physiological data received.Storage,the user’s historical data can be viewed,the server can also send satellite positioning data to the user through Baidu map real-time display of the user’s geographic information.The main achievements and innovations of this design are as follows:(1)blood pressure by pulse wave data from the sensor SON7015 signal,wavelet filtering algorithm for signal denoising,to get the discrete pulse data signal is analyzed and the heart rate,and USES the method of photoelectric displacement and the diastolic blood pressure(low pressure)value and systolic blood pressure(high pressure).(2)by detecting the data signal of the six-axis motion module(MPU6050),and using the kalman filter algorithm to de-noising the signal,the stable triaxial acceleration value and triaxial Angle value are obtained.(3)complete the configuration in IAR environment communication protocol stack(2007 version),and by using Zig Bee-CC2530 wireless communication module,the distribution in the three places of the human body motion sensor(MPU6050)in networking,complete the construction of the human body domain network.Based on the wireless domain network,the design of the fall algorithm is completed.(4)on the android Studio environment using the Java language and writing of android API complete mobile phone APP at the front-end data through bluetooth,and may,according to the received data to slow heart rate,blood pressure and can take prompt warning threshold value of the data.The mobile phone can transmit the received data to the(Socket protocol)background server via its own 4G module.(5)Set up and complete the Hadoop system on the background server(linux system),and receive and store the data from the mobile terminal,and view the historical physiological data.The positioning latitude and longitude transmitted by the mobile terminal is converted by the Baidu map API,and the user’s geographical location can be displayed on the Baidu map.