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基于物联网的社区心电监护系统设计
引用本文:刘元建,李红利,张荣华,柳干,王舒欢,修春波.基于物联网的社区心电监护系统设计[J].传感器与微系统,2015(8):112-115.
作者姓名:刘元建  李红利  张荣华  柳干  王舒欢  修春波
作者单位:天津工业大学 电气工程与自动化学院,天津,300387
基金项目:国家自然科学基金资助项目(61203302);天津市应用基础与前沿技术研究计划资助项目
摘    要:将物联网与传统心电图( ECG)监护系统相结合,以Zig Bee无线通信技术为核心,设计了一种具有自动报警功能的社区心电监护系统,实现了心电数据的自动采集、处理、诊断、异常报警与无线传输。该系统采用无线通信技术传输数据,可以减少系统的连线。系统中的心电分析算法可以实时显示和在线分析心电信号,提取心电信号中的疾病特征,实现心脏疾病的自动诊断和预测。实验结果表明:所设计的心电监护系统,能够准确采集心电信号。将物联网技术应用在智能心电监护系统上,便于对社区患者进行统一监管。

关 键 词:心电图  无线传感器网络  Zig  Bee  集成片上系统  社区医疗

Design of ECG monitoring system in community based on Internet of things
LIU Yuan-jian,LI Hong-li,ZHANG Rong-hua,LIU Gan,WANG Shu-huan,XIU Chun-bo.Design of ECG monitoring system in community based on Internet of things[J].Transducer and Microsystem Technology,2015(8):112-115.
Authors:LIU Yuan-jian  LI Hong-li  ZHANG Rong-hua  LIU Gan  WANG Shu-huan  XIU Chun-bo
Abstract:Internet of things is combined with conventional ECG monitoring system. Based on the core of Zig Bee wireless communication technology,an ECG monitoring system which has the function of automatic alarm community is designed. The automatic acquisition,processing,diagnosis,abnormal alarm and wireless transmission of ECG data can be realized. The wireless communication technology is adopted to transmit data,which can reduce the wire conneced to the system. The ECG analysis algorithm in the system can real-time display and online analysis on ECG signals,extract the disease characteristics of ECG signal,realize automatic diagnosis and predictions of heart disease. Experimental results show that the designed ECG monitoring system can collect ECG accurately. Unified supervision of the community patients is facilitated by means of the application of the Internet of things technology in intelligent ECG monitoring system.
Keywords:ECG  wireless sensor networks( WSNs)  Zig Bee  integrated system on chip  community health care
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