Intelligent network Services Based ECG Signal Monitoring

  • Authors

    • M. Sumathi
    • K. Sushita
    • N. Shanmugasundaram
    • E. N.Ganesh
    2018-05-03
    https://doi.org/10.14419/ijet.v7i2.25.20494
  • Intelligent Networks, services, tele-monitoring, charging, Java, Distributed Object Technologies.

  • 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.

     

     

  • References

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

      [2] http//www.tmforum.org/browse.aspxcatID=2008 Oct.2007

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

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

      [5] Siemens AG,†TC65 JAVA User's Guideâ€, TC65 JAVA User's Guide_V05, 2005.

      [6] Application Server http://www.tomcat.apache.org

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

      [8] CORBA Specifications http://www.corba.org/

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

      [10] www.openecg.net/WS2_proceedings/Session07/S7.1_PA.

      [11] pdf

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

      [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 Vehiclesâ€, ARPN Journal of Engineering and Applied Sciences, Vol. 12, No. 8, April 2017, Pg. No 2455- 2462

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  • How to Cite

    Sumathi, M., Sushita, K., Shanmugasundaram, N., & N.Ganesh, E. (2018). Intelligent network Services Based ECG Signal Monitoring. International Journal of Engineering & Technology, 7(2.25), 138-142. https://doi.org/10.14419/ijet.v7i2.25.20494

    Received date: 2018-09-29

    Accepted date: 2018-09-29

    Published date: 2018-05-03