Grid-Enabled Non-Invasive Blood Glucose Measurement

Grid-Enabled Non-Invasive Blood Glucose Measurement

Abstract

Earth and life sciences are at the forefront to successfully include computational simulations and modeling. Medical applications are often mentioned as the killer applications for the Grid. The complex methodology and models of Traditional Chinese Medicine offer different approaches to diagnose and treat a persons health condition than typical Western medicine. A possibility to make this often hidden knowledge explicit and available to a broader audience will result in mutual synergies for Western and Chinese medicine as well as improved patient care. This paper proposes the design and implementation of a method to accurately estimate blood glucose values using a novel non-invasive method based on electro-transformation measures in human body meridians. The framework used for this scientific computing collaboration, namely the China-Austria Data Grid (CADGrid) framework, provides an Intelligence Base offering commonly used models and algorithms as Web/Grid-Services. The controlled execution of the Non-Invasive Blood Glucose Measurement Service and the management of scientific data that arise from model execution can be seen as the first application on top of the CADGrid.

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Authors
  • Elsayed, Ibrahim
  • Han, Jiango
  • Liu, Ting
  • Wöhrer, Alexander
  • Khan, Fakhri Alam
  • Brezany, Peter
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Editors
  • Bubak, Marian
  • van Albada, Geert
  • Dongarra, Jack
  • Sloot, Peter
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Shortfacts
Category
Paper in Conference Proceedings or in Workshop Proceedings (Paper)
Event Title
Proceedings of the ICCS '08: 8th international conference on Computational Science, Part I
Divisions
Scientific Computing
Event Location
Krakow, Poland
Event Type
Conference
Event Dates
23-25 Jun 2008
Series Name
Lecture Notes in Computer Science
ISSN/ISBN
978-3-540-69383-3
Publisher
Springer-Verlag
Page Range
pp. 76-85
Date
2008
Official URL
http://dx.doi.org/10.1007/978-3-540-69384-0_13
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