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

doi:10.13873/J.1000-9787(2015)08-0112-04

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Design of ECG monitoring system in community based on Internet of things

更新时间：2025-09-11

- Design of ECG monitoring system in community based on Internet of things
- Vol. 34, Issue 8, Pages: 112-115(2015)
- 作者机构：
  
  天津工业大学电气工程与自动化学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2015)08-0112-04
  CLC： TN92;TH789;TP391.44
- Published：2015
- 稿件说明：
移动端阅览
[1]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,2015,34(08):112-115.

LIU Yuan-jian, LI Hong-li, ZHANG Rong-hua, et al. Design of ECG monitoring system in community based on Internet of things[J]. 2015, 34(8): 112-115.
[1]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,2015,34(08):112-115. DOI： 10.13873/J.1000-9787(2015)08-0112-04.

LIU Yuan-jian, LI Hong-li, ZHANG Rong-hua, et al. Design of ECG monitoring system in community based on Internet of things[J]. 2015, 34(8): 112-115. DOI： 10.13873/J.1000-9787(2015)08-0112-04.

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。

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.

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references

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