• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 29 Issue 1
Jan.  2016
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Article Contents
NING Wenshuang, LIANG Ting, YUAN Yong J. Electrocardiography Monitoring System Based on Wireless Communication[J]. Journal of Southwest Jiaotong University, 2016, 29(1): 193-200. doi: 10.3969/j.issn.0258-2724.2016.01.027
Citation: NING Wenshuang, LIANG Ting, YUAN Yong J. Electrocardiography Monitoring System Based on Wireless Communication[J]. Journal of Southwest Jiaotong University, 2016, 29(1): 193-200. doi: 10.3969/j.issn.0258-2724.2016.01.027

Electrocardiography Monitoring System Based on Wireless Communication

doi: 10.3969/j.issn.0258-2724.2016.01.027
  • Received Date: 28 Apr 2014
  • Publish Date: 25 Jan 2016
  • To assist the doctors in assessing drug effects and monitor the recovery of patients, the mobile medical monitoring system was designed in this paper, which utilizes electrocardiography (ECG) signals. ECG sensors were adopted to gather signals from monitoring sites. Both ECG signal acquisition and transmission were controlled by an ARM chip. GPRS network and Internet network were used for the remote wireless data transmission. In either a monitoring center or community hospital, SOCKET technology was utilized to develop network applications. The end-user friendly interface was visually established, and patient database and ECG database were administrated by the monitoring center with SQL database. When the sampling frequency of ECG sensors is 200 Hz, the Nyquist sampling theorem was satisfied and the acquisition precision is up to 5 mV, which can obtain accurate ECG P, Q, R, S, T waveforms. ARM processor has the merits of high performance, low power consumption and real-time analysis. The developed system not only realizes remote, real-time monitoring and alarming for ECG, but also provides the functions such as waveform playback and QRS waveform detection, which can be extended to other applications of physiological signal monitoring system.

     

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