Paper
1 March 2013 Simulation on how to customize glucose adjustment method for non-invasive blood glucose sensing by NIRS
Xiaolin Min, Jingying Jiang, Da Zou, Rong Liu, Kexin Xu
Author Affiliations +
Abstract
Previous studies have shown the limitations of taking OGTT (Oral Glucose Tolerance Test) as the glucose adjustment protocol for non-invasive blood glucose sensing. Previous studies built a mathematical model of glucose metabolism system-IMM (the Integrated Minimal Model) to probe other available adjustment methods. In this talk, a further study would be focused on more detailed combination options of different glucose input types for glucose adjustment projects in non-invasive blood glucose sensing. And predictive models of blood glucose concentration have been established by means of partial least squares (PLS) method, which could be used to evaluate the quality of different glucose adjustment options. Results of PLS modeling suggested that predictive models under combined glucose input types, compared with OGTT, show a great enhancement in the stability. This would finally improve the precision of non-invasive blood glucose sensing.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaolin Min, Jingying Jiang, Da Zou, Rong Liu, and Kexin Xu "Simulation on how to customize glucose adjustment method for non-invasive blood glucose sensing by NIRS", Proc. SPIE 8580, Dynamics and Fluctuations in Biomedical Photonics X, 85801B (1 March 2013); https://doi.org/10.1117/12.2001775
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Glucose

Blood

Monte Carlo methods

Mathematical modeling

Data modeling

Near infrared spectroscopy

Stomach

Back to Top