Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/6586
PIRA download icon_1.1View/Download Full Text
Title: Non-invasive blood glucose measurement by near infrared spectroscopy : machine drift, time drift and physiological effect
Authors: Lam, SCH
Chung, J
Fan, KL
Wong, TKS
Issue Date: 2010
Source: Spectroscopy, 2010, v. 24, no. 6, p. 629-639
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
Publisher: Hindawi Publishing Corporation
Journal: Spectroscopy 
ISSN: 0712-4813 (print)
1875-922X (online)
DOI: 10.3233/SPE-2010-0485
Rights: 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.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Lam_Blood_Glucose_Spectroscopy.pdf558.1 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

108
Last Week
7
Last month
Citations as of Oct 2, 2022

Downloads

237
Citations as of Oct 2, 2022

SCOPUSTM   
Citations

16
Last Week
0
Last month
0
Citations as of Oct 6, 2022

WEB OF SCIENCETM
Citations

12
Last Week
0
Last month
0
Citations as of Oct 6, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.