| Autor: |
Gervasi, Osvaldo, Gavrilova, Marina L., Kumar, Vipin, Laganà, Antonio, Lee, Heow Pueh, Mun, Youngsong, Taniar, David, Tan, Chih Jeng Kenneth, Serif, T., Ghinea, G., Frank, A.O. |
| Zdroj: |
Computational Science & Its Applications - ICCSA 2005 (9783540258612); 2005, p1018-1027, 10p |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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