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基于云平台的生物电阻抗分析检测系统的设计
引用本文:基于云平台的生物电阻抗分析检测系统的设计.基于云平台的生物电阻抗分析检测系统的设计[J].山东科学,2017,30(4):118-123.
作者姓名:基于云平台的生物电阻抗分析检测系统的设计
作者单位:山东省计算中心(国家超级计算济南中心),山东省计算机网络重点实验室,山东 济南 250014
基金项目:山东省科技发展计划(2014GSF118107);山东省重点研发计划(2015GGH309003)
摘    要:提出了一种基于云平台的生物电阻抗分析检测系统,对人体体成分的检测、监护和干预提供了积极有效的解决途径。系统以"智能采集终端+数据处理中继+综合性健康云服务平台+多模态应用终端"为架构,基于云计算和智能硬件技术,设计了包括生物电阻抗采集前端、MSP430数据处理收发中心、数据处理交互单元、云平台数据处理存储阵列和应用客户端5个部分。通过检测身高、体重和阻抗参数,运用云计算技术由服务器集群在云端动态修正和更新算法,完成数据结果的分析计算,在应用客户端请求数据时实现数据分发推送,并通过显示模块展现给使用者。与当前主流生物电阻抗分析检测系统的对比结果表明,该系统检测参数多,可实现数据的远程传输、处理和展示,有助于建立人体体成分检测监控新模式。

关 键 词:生物电阻抗  云计算  MSP430  体成分分析  
收稿时间:2017-01-19

Desigh of bioelectrical impedance detection and analysissystem based on cloud platform
SHU Ming-lei,GAO Tian-lei,SHAN Ke.Desigh of bioelectrical impedance detection and analysissystem based on cloud platform[J].Shandong Science,2017,30(4):118-123.
Authors:SHU Ming-lei  GAO Tian-lei  SHAN Ke
Institution:Shandong Computer Science Center(National Supercomputer Center in Jinan), Shandong Provincial Key Laboratory of Computer Networks, Jinan 250014, China
Abstract:In this paper a kind of bioelectrical impedance analysis and detection system based on cloud platform was put forward to provide a positive and effective solution to the detection, monitoring and intervention of human body composition. The system implemented an architecture which consisted of intelligent acquisition terminal, data processing relay, comprehensive health cloud service platform and multimodal application terminal. Based on cloud computing and intelligent hardware technology, five components were designed, which included bioelectrical impedance acquisition front end, MSP430 data processor and transceiver, data processing and interactive unit, data processing and storage arrays on cloud platform, and application client. By detecting the height, weight, and impedance parameters, the system performed dynamic correction and updating algorithms on the server clusters based on cloud computing technology, and the data results were analyzed and calculated. When the application client requested data, the data distributing and pushing were carried out, which was displayed to users through display module. Compared with other mainstream biological resistance detection systems, the system presented could detect more kinds of parameters, and realize the remote data transmission, processing and display, which was helpful to establish a new model for the detection and monitoring of human body composition.
Keywords:MSP430  cloud computing  Bioelectrical impedance  body composition analysis  
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