Grid-enabled non-invasive blood glucose measurement

Ibrahim Elsayed*, Jianguo Han, Ting Liu, Alexander Wöhrer, Fakhri Alam Khan, Peter Brezany

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations


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.

Original languageEnglish
Title of host publicationComputational Science - ICCS 2008 - 8th International Conference, Proceedings
Number of pages10
EditionPART 1
StatePublished - 2008
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume5101 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


  • Grid computing
  • Non-Invasive Blood Glucose Measurement
  • Traditional Chinese Medicine
  • e-Infrastructure

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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