Intelligent network Services Based ECG Signal Monitoring
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https://doi.org/10.14419/ijet.v7i2.25.20494
Received date: September 29, 2018
Accepted date: September 29, 2018
Published date: May 3, 2018
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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.
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References
- TMForum community, Information data model for the telecommu-nication business,
- http//www.tmforum.org/browse.aspxcatID=2008 Oct.2007
- http://www.3gpp.or
- Cinterion Wireless Modules GmbH, “TC65i AT Command Set”, TC65i_ATC_V01.000, pp. 317-360, Aug. 2008
- Siemens AG,” TC65 JAVA User's Guide”, TC65 JAVA User's Guide_V05, 2005.
- Application Server http://www.tomcat.apache.org
- I.Venieris, F.Zizza, T.Magedan, „Object Oriented Software Tech-nologies in Telecommunications: From Theory to Practice”, pp.49-108, John Wiley&Sons, 2000
- CORBA Specifications http://www.corba.org/
- Y Jasemian, E Toft, L Arendt-Nielsen, “Real-time remotemonitor-ing cardiac patients at distance”,
- www.openecg.net/WS2_proceedings/Session07/S7.1_PA.
- C. Wena, M.-F.Yeha, K.-C. Changa, , R. Leeb ,“Real-time ECG tele-monitoring system design with mobile phone plat form”
- 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
- DAAAM– 22-25th October 2008 - ISBN 3-901509
- G. Rigas, C. D. Katsis, P. Bougia and D.I. Fotiadis, "A Reason-ing-based framework for car Driver's Stress Prediction."16th Medi-terranean Conference on Control and Automation,2008
- Lei Yu, Yang Lu, Xiaoling Zhu, Lin Feng, "Research progress of IoT technology in medical field [j]", Computer Application Re-search, vol. 01, pp. 1-7, 2012.
- S. Pradeep Kumar and A. Wisemin Lins, “Brain Wave Sensor Sys-tem for Accident Prevention in Vehicles”, ARPN Journal of Engi-neering 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 and Technology, 7(2.25), 138-142. https://doi.org/10.14419/ijet.v7i2.25.20494
