Paper
9 February 2012 Mathematical modeling on experimental protocol of glucose adjustment for non-invasive blood glucose sensing
Jingying Jiang, Xiaolin Min, Da Zou, Kexin Xu
Author Affiliations +
Abstract
Currently, blood glucose concentration levels from OGTT(Oral Glucose Tolerance Test) results are used to build PLS model in noninvasive blood glucose sensing by Near-Infrared(NIR) Spectroscopy. However, the univocal dynamic change trend of blood glucose concentration based on OGTT results is not various enough to provide comprehensive data to make PLS model robust and accurate. In this talk, with the final purpose of improving the stability and accuracy of the PLS model, we introduced an integrated minimal model(IMM) of glucose metabolism system. First, by adjusting parameters, which represent different metabolism characteristics and individual differences, comparatively ideal mediation programs to different groups of people, even individuals were customized. Second, with different glucose input types(oral method, intravenous injection, or intravenous drip), we got various changes of blood glucose concentration. And by studying the adjustment methods of blood glucose concentration, we would thus customize corresponding experimental protocols of glucose adjustment to different people for noninvasive blood glucose concentration and supply comprehensive data for PLS model.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jingying Jiang, Xiaolin Min, Da Zou, and Kexin Xu "Mathematical modeling on experimental protocol of glucose adjustment for non-invasive blood glucose sensing", Proc. SPIE 8222, Dynamics and Fluctuations in Biomedical Photonics IX, 822215 (9 February 2012); https://doi.org/10.1117/12.905941
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KEYWORDS
Glucose

Blood

Mathematical modeling

Data modeling

Mode conditioning cables

Brain-machine interfaces

Absorption

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