Tuesday 23rd of April 2024
 

A New Architecture of a Ubiquitous Health Monitoring System: A Prototype of Cloud Mobile Health Monitoring System


Abderrahim Bourouis, Mohammed Feham and Abdelhamid Bouchachia

Wireless Body Area Sensor Networks (WBASN) is an emerging technology which uses wireless sensors to implement real-time wearable health monitoring of patients to enhance independent living. In this paper we propose a prototype of cloud mobile health monitoring system. The system uses WBASN and Smartphone application that uses cloud computing, location data and a neural network to determine the state of patients.

Keywords: Mobile Cloud Computing, Mobile Health Monitoring, WBASN, Smartphone, Android, Python

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ABOUT THE AUTHORS

Abderrahim Bourouis
Abderrahim Bourouis received the B.E. and M.E..degrees in telecommunication from Abou-bekr BELKAID university , Algeria, in 2007 and 2009 respectively. He joined STIC laboratory in 2010. He has been engaged in the design and development of Location-based service (LBS) and Body Sensor Networks (BSN).

Mohammed Feham
Mohammed Feham received the Dr. Eng. degree in Optical and Microwave Communications from the University of Limoges (France) in 1987, and his PhD in Science from the University of Tlemcen (Algeria) in 1996. Since 1987, he has been Assistant Professor and Professor of Microwave, Communication Engineering and Telecommunication Networks. He has served on the Scientific Council and other committees of the Electronics and Telecommunication Departments of the University of Tlemcen. His research interest now is mobile networks and services.

Abdelhamid Bouchachia
is currently an Associate Professor at the University of Klagenfurt, Department of Informatics, Austria. He obtained his Doctorate in Computer Science from the same University in 2001. He then spent one year as a post-doc at the University of Alberta, Canada. His major research interests include soft computing and machine learning encompassing nature-inspired computing, neurocomputing, fuzzy systems, incremental learning, semi-supervised learning and uncertainty modeling.. He is a member of the IEEE task force for adaptive and evolving fuzzy systems and member of the Evolving Intelligent Systems (EIS) Technical Committee of the Systems, Man and Cybernetics (SMC) Society of IEEE.


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