Journal of Spectroscopy

Journal of Spectroscopy / 2010 / Article

Open Access

Volume 24 |Article ID 929506 | https://doi.org/10.3233/SPE-2010-0485

Simon C. H. Lam, Joanne W. Y. Chung, K. L. Fan, Thomas K. S. Wong, "Non-invasive blood glucose measurement by near infrared spectroscopy: Machine drift, time drift and physiological effect", Journal of Spectroscopy, vol. 24, Article ID 929506, 11 pages, 2010. https://doi.org/10.3233/SPE-2010-0485

Non-invasive blood glucose measurement by near infrared spectroscopy: Machine drift, time drift and physiological effect

Abstract

The aim of this paper is to evaluate development of the non-invasive blood glucose measurement of near infrared (NIR) spectroscopy. The results showed that NIR spectroscopy might obtain glucose concentration of up to 200% difference under a same environmental condition with two months apart due to time and machine drifts. These effects can restrict the development of the non-invasive blood glucose measurement. Partial least square (PLS) regression was used, which showed advantage over using simple absorbance for glucose concentration. Non-invasive blood glucose measurement of health subjects (non-diabetics) was also investigated. The results showed that R correlation coefficient of prediction (Rp) was 0.48 and root mean square of prediction (rmsep) was 1.34 mmol/l. The error was mainly due to the physiological effect of different subjects.

Copyright © 2010 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


More related articles

 PDF Download Citation Citation
 Order printed copiesOrder
Views973
Downloads6072
Citations