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基于Raspberry Pi的家庭健康监测网关
引用本文:王怀军,高茜茜,付静飞,李军怀,王侃.基于Raspberry Pi的家庭健康监测网关[J].计算机系统应用,2018,27(12):69-74.
作者姓名:王怀军  高茜茜  付静飞  李军怀  王侃
作者单位:西安理工大学 计算机科学与工程学院, 西安 710048;陕西省网络计算与安全重点实验室, 西安 710048,西安理工大学 计算机科学与工程学院, 西安 710048,西安理工大学 计算机科学与工程学院, 西安 710048,西安理工大学 计算机科学与工程学院, 西安 710048;陕西省网络计算与安全重点实验室, 西安 710048,西安理工大学 计算机科学与工程学院, 西安 710048;陕西省网络计算与安全重点实验室, 西安 710048
基金项目:国家自然科学基金(61771387);国家重点研发计划(2017YFB1402103);赛尔网络创新项目(NGⅡ20160704)
摘    要:随着人口老龄化和亚健康人群的增多,人们对健康监测服务的需求也不断增加.心率、血压、血糖等生理数据中包含了人体健康状况的重要病理信息,为接收和预处理这些生理数据,并完成对生理检测设备的集中管理和数据的自动采集,本文基于Raspberry Pi (树莓派)研究开发了一个家庭健康监测网关.该家庭健康监测网关,通过蓝牙通讯获取生理检测设备的数据,并进行存储或利用无线网络将其传输至服务器.最后,以监护对象的心电数据采集、传输及展示过程为例,对系统整体进行功能性测试.该网关为家庭健康监测提供了可行的方案,在减轻社会医疗压力方面具有重要意义.

关 键 词:健康监测系统  Raspberry  Pi  网关
收稿时间:2018/5/12 0:00:00
修稿时间:2018/6/4 0:00:00

Family Health Monitoring Gateway Based on Raspberry Pi
WANG Huai-Jun,GAO Xi-Xi,FU Jing-Fei,LI Jun-Huai and WANG Kan.Family Health Monitoring Gateway Based on Raspberry Pi[J].Computer Systems& Applications,2018,27(12):69-74.
Authors:WANG Huai-Jun  GAO Xi-Xi  FU Jing-Fei  LI Jun-Huai and WANG Kan
Affiliation:Faculty of Computer Science and Engineering, Xi''an University of Technology, Xi''an 710048, China;Shaanxi Key Laboratory for Network Computing and Security Technology, Xi''an 710048, China,Faculty of Computer Science and Engineering, Xi''an University of Technology, Xi''an 710048, China,Faculty of Computer Science and Engineering, Xi''an University of Technology, Xi''an 710048, China,Faculty of Computer Science and Engineering, Xi''an University of Technology, Xi''an 710048, China;Shaanxi Key Laboratory for Network Computing and Security Technology, Xi''an 710048, China and Faculty of Computer Science and Engineering, Xi''an University of Technology, Xi''an 710048, China;Shaanxi Key Laboratory for Network Computing and Security Technology, Xi''an 710048, China
Abstract:With the acceleration of population aging and the increasing of sub-health population, the demand of health monitoring service is expanding. Heart rate, blood pressure, blood glucose, and other physiological data contain important pathological information of human health status. In order to receive and preprocess these physiological data, and complete the centralized management of physiological detection equipment and automatic data collection, a family health monitoring gateway is developed based on the Raspberry Pi research. The family health monitoring gateway uses Bluetooth communications to obtain data from physiological monitoring devices, and stores or uses wireless networks to transmit it to the server. Finally, taking the monitoring object''s electrocardio data acquisition, transmission, and display process as an example, the whole system is tested. The gateway provides a feasible scheme for family health monitoring and is of great significance in alleviating social medical pressure.
Keywords:health monitoring system  Raspberry Pi  gateway
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