Telemedical IoT based technology for emergency health-care

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    While it is possible to save potential victims during emergencies situations (such as cardiac arrests) using the required healthcare infrastructure around, the greatest challenge lies in setting up of the same. People are not always present at places with readily access to qualified doctors. As a result, there should be a provision to remain in touch with a specialist medical practitioner. This paper presents the methodology of medical content management through internet of things. Transmitting sensory data of the victims to any hospital on time can help save numerous lives across the planet. This mode of human-machine interaction constitutes telemedicine. By embracing information technology and telecommunication, telemedicine provides remote emergency healthcare services outside the regular medical establishments. These systems generate and process an increasing amount of sensory data. It supports real-time processing with the help of a content management system that averts impending life-threatening dangers. By utilizing suitable sensory data inputs, medical practitioners can analyze and convey the appropriate measures to be taken to save the victim. The underlying methodology is extended to various scenarios such as aircrafts, high-buildings and remote villages. Finally, potential for future improvement and the challenges that are currently faced are presented in this paper.


  • Keywords


    Common Telemedical System; Content Management; Cloud Computing Architecture; IoT.

  • References


      [1] Attila, Istvan Pentek: "Cognitive telemedicine IoT technology for dynamically adaptive eHealth content management reference framework embedded in cloud architecture", 2016 7th IEEE International Conference on Cognitive Infocommunications (CogInfoCom), 2016.

      [2] Rashid L. Bashshur, Gary W. Shannon, History of Telemedicine: Evolution, Context, and Transformation, Mary Ann Liebert, 2009.

      [3] Halit Eren and John G. Webster, the E-Medicine, E-Health, M-Health, Telemedicine, and Telehealth Handbook (Two Volume Set), CRC Press, 2015.

      [4] Mahmud K, Lenz J. The personal telemedicine system. A new tool for the delivery of health care. J Telemed Telecare 1995; 1: 173–177. https://doi.org/10.1177/1357633X9500100307.

      [5] Singh, G., O'Donoghue, J., and Soon, C. K. (2002).T Telemedicine: Issues and implications. Technology Health Care, 10(1):1-10.

      [6] Tr, S., As, M. and Mh, A. (2007) An ad hoc wireless sensor network for telemedicine applications. Arabian Journal for Science and Engineering, 32.

      [7] Varshney, Upkar. (2007) Pervasive healthcare and wireless healthmonitoring. Mobile Networks and Applications, 2007, 2-3, volume 12.

      [8] Attila Adamkó, Mátyás Arató, Gábor Fazekas and István Juhász (2007):“Performance evaluation of large-scale data processing systems”, Proceedings of the 7th International Conference on Applied Informatics, Eger, Hungary, January 28–31, 2007. Vol. 1. pp. 295–301.


 

View

Download

Article ID: 9480
 
DOI: 10.14419/ijet.v7i1.1.9480




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