Grid-Enabled Non-Invasive Blood Glucose Measurement

Authors:
Ibrahim Elsayed;Jianguo Han;Ting Liu;Alexander Wöhrer;Fakhri Alam Khan;Peter Brezany
Affiliations:
Institute of Scientific Computing, University of Vienna, Vienna, Austria A-1090;School of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China 100029;School of Earth and Space Science, Peking University, Beijing, China 100871;Institute of Scientific Computing, University of Vienna, Vienna, Austria A-1090;Institute of Scientific Computing, University of Vienna, Vienna, Austria A-1090;Institute of Scientific Computing, University of Vienna, Vienna, Austria A-1090
Venue:
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part I
Year:
2008

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Abstract

Earth and life sciences are at the forefront to successfully include computational simulations and modeling. Medical applications are often mentioned as the killer applicationsfor 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.