【作者】 刘超；

【导师】 刘宇红；

【作者基本信息】 贵州大学 ， 集成电路工程， 2018， 硕士

【摘要】 随着嵌入式技术的发展,人体可穿戴式智能监测作为一种新型健康监测方法得到了人们的关注。穿戴式智能监护系统不仅可以实现对使用者生理参数的实时读取,还可以对异常的生理数据进行判断预警,实现对使用者身体状态的智能监测。本系统的研究设计主要由智能终端、手机APP和服务器三部分组成。智能终端由Zig Bee通信模块、蓝牙模块、各生理传感器(包括温度、血压、心率以及六轴传感器)组成,能够对使用者的血压、心率以及运动情况进行数据采集,收集到的数据通过蓝牙模块(蓝牙4.1)传输给手机APP;手机APP可对接收到数据实时显示,同时可通过手机的3G/4G网络传输给后台服务器;服务器端搭建的Hadoop数据存储系统对接收到的各种生理数据进行分类存储,可对使用者的历史数据进行查看,服务器端也可对使用者传来卫星定位数据通过百度地图实时显示使用者的地理位置信息。本设计取得的主要成果和创新点有以下几点:(1)通过脉搏波血压传感器SON7015采集的数据信号,利用小波滤波算法对信号进行去噪,对得到的离散脉搏数据信号进行分析求出心率,并利用光电容积法求出舒张压(低压)值和收缩压(高压)值。(2)通过检测六轴运动模块(MPU6050)的数据信号,并利用卡尔曼滤波算法对信号进行去噪,得到稳定的三轴加速度值、三轴角度值。(3)在IAR环境下完成配置通信协议栈(2007版本),并利用Zig Bee CC2530无线通信模块,把分布在人体三处的运动传感器(MPU6050)进行组网,完成人体体域网的搭建。并以无线体域网为依托,完成跌倒算法的设计。(4)在Andriod Studio环境下利用java语言和安卓系统API完成手机APP的编写,通过蓝牙实现对前端数据的接收,并可对接收到的数据进行显示,并可对超过心率、血压阈值的数据进行提示预警。手机端并可以把接收到的数据通过自带的4G模块传输给(Socket协议)后台服务器。(5)在后台服务器(linux系统)搭建完成Hadoop系统,并可对手机端传来的数据进行接收存储,并可查看历史生理数据。手机端发送的定位经纬度通过百度地图API转换,可在百度地图上显示使用者的地理位置。更多还原

【Abstract】 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.更多还原