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计算机工程 ›› 2011, Vol. 37 ›› Issue (16): 273-275. doi: 10.3969/j.issn.1000-3428.2011.16.092

• 开发研究与设计技术 • 上一篇    下一篇

物联网人体心电监护系统软件研究

王嘉庆,李鸿强,于晓刚,苗长云,田文涛   

  1. (天津工业大学信息与通信工程学院,天津 300160)
  • 收稿日期:2011-03-15 出版日期:2011-08-20 发布日期:2011-08-20
  • 作者简介:王嘉庆(1985-),男,硕士研究生,主研方向:无线传感器网络;李鸿强,副教授;于晓刚,助理研究员;苗长云,教授、博士生导师;田文涛,硕士研究生
  • 基金资助:
    国家自然科学基金资助项目(60844002, 60977059);天津市高等学校科技发展基金资助项目(20070814)

Research on Human ECG Monitoring System Software for Internet of Things

WANG Jia-qing, LI Hong-qiang, YU Xiao-gang, MIAO Chang-yun, TIAN Wen-tao   

  1. (School of Information and Communication Engineering, Tianjin Polytechnic University, Tianjin 300160, China)
  • Received:2011-03-15 Online:2011-08-20 Published:2011-08-20

摘要: 基于物联网技术和小波变换,提出心电监护系统软件和用于计算机自行分析心电波形的一系列检测算法,介绍无线传感器网络在心电监护技术方面的应用。该系统软件功能包括对服务器和个人数码助理(PDA)心电数据的收发、存储、波形显示和通信管理。实验结果表明,该系统软件能使计算机和PDA实时显示被测者的心电波,所提算法经Matlab仿真测试的结果与MIT-BIH数据库标注的结果比较,误检率仅为0.89%。

关键词: 物联网, 无线传感器网络, 心电监护, 系统软件

Abstract: This paper proposes an Electrocardiogram(ECG) monitoring system software and a series of self-detection algorithm for computer analysis of ECG, which are separately based on the Internet of Things(IOT) technology and the wavelet transform, and introduces the application of Wireless Sensor Network(WSN) for ECG monitoring. The functions of this system software include that it can realize ECG data transceiver, data memory, waveform display and communication management by using servers and Personal Digital Assistant(PDA). Experimental results show that this system software can make computer and PDA display the ECG waveform in a real-time way. Compared with MIT-BIH database annotation, the false detection rate of this algorithm which goes trough the Matlab simulation test is just 0.89%.

Key words: Internet of Things(IOT), Wireless Sensor Network(WSN), Electrocardiogram(ECG) monitoring, system software

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