Affiliations: School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China
Note: [] Corresponding author: Simon C.H. Lam, School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China. Tel.: +852 8210 0441; Fax: +852 8210 0517; E-mail: [email protected].
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.
Keywords: Spectroscopy, machine drift, time drift, physiological effect, PLS, PDS, Beer's law
DOI: 10.3233/SPE-2010-0485
Journal: Spectroscopy, vol. 24, no. 6, pp. 629-639, 2010