Intelligent network Services Based ECG Signal Monitoring

  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract

    The technology and the nature of the Telecom environment are changing rapidly. Network Operators and service Subscribers have to differentiate themselves from the competitors to keep their market shares and to attack new market segments. One way of differentiating and of increasing revenues is to host IN (Intelligent Network) services that target market segments that usually were not in the operators’ focus. In the current paper, such a service is presented, service that is related to the medical tele-monitoring. The paper is presenting a part of the technical aspects and market perspectives specific to such a service.



  • Keywords

    Intelligent Networks, services, tele-monitoring, charging, Java, Distributed Object Technologies.

  • References

      [1] TMForum community, Information data model for the telecommunication business,

      [2] http// Oct.2007

      [3] http://www.3gpp.or

      [4] Cinterion Wireless Modules GmbH, “TC65i AT Command Set”, TC65i_ATC_V01.000, pp. 317-360, Aug. 2008

      [5] Siemens AG,” TC65 JAVA User's Guide”, TC65 JAVA User's Guide_V05, 2005.

      [6] Application Server

      [7] I.Venieris, F.Zizza, T.Magedan, „Object Oriented Software Technologies in Telecommunications: From Theory to Practice”, pp.49-108, John Wiley&Sons, 2000

      [8] CORBA Specifications

      [9] Y Jasemian, E Toft, L Arendt-Nielsen, “Real-time remotemonitoring cardiac patients at distance”,


      [11] pdf

      [12] C. Wena, M.-F.Yeha, K.-C. Changa, , R. Leeb ,“Real-time ECG tele-monitoring system design with mobile phone plat form”

      [13] A.V.Nedelcu, F. Sandu, P.N. Borza, S.A. Moraru , “Mobile Data Acquisition and Tele-transmission by PDA” – Proceedings of the 19th INTERNATIONAL SYMPOSIUM OF

      [14] DAAAM– 22-25th October 2008 - ISBN 3-901509

      [15] G. Rigas, C. D. Katsis, P. Bougia and D.I. Fotiadis, "A Reasoning-based framework for car Driver's Stress Prediction."16th Mediterranean Conference on Control and Automation,2008

      [16] Lei Yu, Yang Lu, Xiaoling Zhu, Lin Feng, "Research progress of IoT technology in medical field [j]", Computer Application Research, vol. 01, pp. 1-7, 2012.

      [17] S. Pradeep Kumar and A. Wisemin Lins, “Brain Wave Sensor System for Accident Prevention in Vehicles”, ARPN Journal of Engineering and Applied Sciences, Vol. 12, No. 8, April 2017, Pg. No 2455- 2462




Article ID: 20494
DOI: 10.14419/ijet.v7i2.25.20494

Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.