An ambient intelligent body sensor network for e-Health applications

  • Authors:

  • Md. Abdur Rahman;Mohammed F. Alhamid;Wail Gueaieb;Abdulmotaleb El Saddik

  • Affiliations:

  • Multimedia Communications Research Laboratory (MCRLab) SITE, University of Ottawa, ON K1N6N5, Canada;Multimedia Communications Research Laboratory (MCRLab) SITE, University of Ottawa, ON K1N6N5, Canada;Machine Intelligence, Robotics, and Mechatronics (MIRAM) Laboratory SITE, University of Ottawa, ON K1N6N5, Canada;Multimedia Communications Research Laboratory (MCRLab) SITE, University of Ottawa, ON K1N6N5, Canada

  • Venue:
  • MEMEA '09 Proceedings of the 2009 IEEE International Workshop on Medical Measurements and Applications
  • Year:
  • 2009

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Abstract

Body sensor network (BSN) has played a key role in the rapid advancement of e-Health applications. If it is properly designed, a BSN can act as an ambient intelligent environment by providing us not only time critical human body information but also the context and events mapped with raw sensory data. In this paper, we propose the design of a BSN, which offers two features 1) capability of pushing sensory data and events from one's BSN, and ambient information from surrounding environment to a remote healthcare center and 2) facility of remotely querying any sensory data from one's BSN even if he is at home or outside. As a proof of concept, we created a testbed which can interact with the BSN in both communication ways. Finally, we present some preliminary test results that show the viability of the system.