Volume 2, Issue 3, June 2014, Page: 23-26
Mobile Communications for using in Telemedicin
Marjan Ghazi Saeedi, School of Allied Medical Sciences Tehran University of Medical Sciences, Tehran, Iran
Mashaallah Torabi, School of Allied Medical Sciences Tehran University of Medical Sciences, Tehran, Iran
Sakineh Hamidi, School of Allied Medical Sciences Alborz University of Medical Sciences, Tehran, Iran
Hassan Ranji, School of Allied Medical Sciences Alborz University of Medical Sciences, Tehran, Iran
Received: Dec. 21, 2013;       Accepted: Sep. 1, 2014;       Published: Sep. 10, 2014
DOI: 10.11648/j.ijbse.20140203.12      View  3089      Downloads  100
Telemedicine the use of telecommunication and information technologies in order to provide clinical health care at a distance helps eliminate distance barriers and can improve access to medical services that would often not be consistently available in distant rural communities. It is also used to save lives in critical care and emergency situations. Although there were distant precursors to telemedicine, it is essentially a product of 20th century telecommunication and information technologies. These technologies permit communications between patient and medical staff with both convenience and fidelity, as well as the transmission of medical, imaging and health informatics data from one site to another. Early forms of telemedicine achieved with telephone and radio have been supplemented with video telephony, advanced diagnostic methods supported by distributed client/server applications, and additionally with telemedical devices to support in-home care. There is a growing trend in the health domain to incorporate Smartphone's and other wireless technologies to provide more efficient, cost effective, and higher quality healthcare. With newer more sophisticated mobile devices for example, Smart phones this is an escalating practice. To date the use of mobile phone technology in the healthcare domain (m-Health) has been limited to uses such as disseminating information. However, m-Health is beginning to include software and data applications based on mobile devices and technologies. This movement is largely due to the advent of newer technologies associated with Smart phones. Some Smart phones can now be considered to be intelligent sensors with sensing capabilities such as GPS1 location, proximity and accelerometers. This paper examines the use of such technology in providing seamless mobile communications for telemedicine.
M-health, Telemedicine, Smartphone, Mobile Wireless Sensor
To cite this article
Marjan Ghazi Saeedi, Mashaallah Torabi, Sakineh Hamidi, Hassan Ranji, Mobile Communications for using in Telemedicin, International Journal of Biomedical Science and Engineering. Vol. 2, No. 3, 2014, pp. 23-26. doi: 10.11648/j.ijbse.20140203.12
http://www.unfoundation.org/global-issues/technology/mhealthreport. html
PERIMETER, User-centric Paradigm for Seamless Mobility in Future Internet, Available: http://www.ict-perimeter.eu/
Munir et al, “Mobile Wireless Sensor Network” 21st International conference on Advanced Information Networking And Applications May 2007
Google Android Operating System, Available http://www.android.com/
Nokia (2004) Quality of Experience (QoE) of mobile services: can it be measured and improved?. Telecom Services White Papers, Nokia, Inc, Finland
DSL Forum Technical Report TR-126, Triple-play Services Quality of Experience (QoE) Requirements, December 2006, Produced by Architecture & Transport Working Group.
The Third Generation Partnership Project (3GPP). Available: http://www.3gpp.org/
ITU-T: 'Recommendation Y.1541: Network Performance Objectives for IP-based services', 2002.
J. Sheikh, M. Fiedler and D. College, Quality of Experience from user and network perspectives, Annals of Telecommunications, Special Issue on QoE and socio-economic issues of network-based services.
International Telecommunication Union, P.800 – Series P: “Telephone Transmission Quality”, ITU-T Recommendation P.800 (08/96).
Hossfeld et al., Testing the IQX hypothesis for exponential interdependency between QoS and QoE of voice codec's iLBC and G.711, Proc. of 18th ITC Specialist Seminar on QoE, Karlskrona, Sweden, May 2008.livingl
M. Eriksson, V. Niitamo and S. Kulki, State-of-the-art in utilizing Living Labs approach to user-centric ICT innovation – a European approach, Centre for Distance-spanning Technology at Lulea University of Technology, 2005
A. Dey, D. Salber, G. Abowd, “A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications”, Human-Computer Interaction Journal, Vol. 16, No. 2-4, pp. 97-166, October 2001
T. Strange, and C. Linnhoff-Popien, “A Context Modeling Survey”, part of UbiComp 2004 - The Sixth International Conference on Ubiquitous Computing, Nottingham, UK, September 2004
Browse journals by subject