A ubiquitous approach for visualizing back pain data

Authors:
T. Serif;G. Ghinea;A. O. Frank
Affiliations:
School of Information Systems, Computing and Mathematics, Brunel University, Uxbridge, Middlesex, UK;School of Information Systems, Computing and Mathematics, Brunel University, Uxbridge, Middlesex, UK;Department of Rehabilitation Medicine and Rheumatology, Northwick Park Hospital, Harrow, UK
Venue:
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part II
Year:
2005

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Abstract

We describe a wireless enabled solution for the vizualisation of back pain data. Our approach uses pain drawings to record spatial location and type of pain and enables data collection with appropriate time stamping, thus providing a means for the seldom-recorded (but often attested) time-varying nature of pain, with consequential impact on monitoring the effectiveness of patient treatment regimes. Moreover, since the implementation platform of our solution is that of a Personal Digital Assistant, data collection takes place ubiquitously, providing back pain sufferers with mobility problems (such as wheelchair users) with a convenient means of logging their pain data and of seamlessly uploading it to a hospital server using WiFi technology. Stakeholder results show that our approach is generally perceived to be an easy to use and convenient solution to the challenges of anywhere/anytime data collection.