By Topic

Rehabilitation supervision using wireless sensor networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Abdelkrim Hadjidj ; Université de Technologie de Compiègne, HEUDIASYC UMR CNRS 6599, BP 20529, Cedex, France ; Abdelmadjid Bouabdallah ; Yacine Challal

Wireless sensor networks are becoming a topic of great interest in medical applications generating a large amount of work in medical and computer research communities. In this line, several solutions have been proposed to provide unobtrusive, flexible and low cost systems for patient supervision. However, existing solutions can not be used in rehabilitation supervision because of the specific characteristics of this application. Indeed, new major challenges arise from the fact that each sensor node needs to continuously stream large volumes of data at a high rate to enable doctors to extract clinically relevant information. In addition, the placement of several adjacent sensor nodes on the body may cause serious interferences problems. In this work, we describe and demonstrate our wireless sensor network prototype for high-fidelity rehabilitation supervision. Our demonstration allows attendees to experience the potential of wireless sensor networks for enabling flexible and low cost rehabilitation monitoring systems. In order to alleviate transmission problems, we develop a novel communication protocol that meets the clinical requirements of rehabilitation supervision in terms of data quality and data rate.

Published in:

World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2011 IEEE International Symposium on a

Date of Conference:

20-24 June 2011