Please use this identifier to cite or link to this item: http://dl.umsu.ac.ir/handle/10397/6587
Title: Improved stability of blood glucose measurement in humans using near infrared spectroscopy
Authors: So, C. F.;Chung, Joanne;Siu, So-ming Maggie;Wong, Thomas K. S.
subject: Blood glucose;Partial least squares;Near infrared;Prediction model;Spectroscopy
Year: 2011
Publisher: Hindawi Publishing Corporation
Description: Near infrared (NIR) spectroscopy has become a promising technique for blood glucose monitoring. However, an appropriate model of spectral response in humans is yet to be determined because of the reliability problem. In this study, 48 subjects were recruited. The subjects' left forearms were scanned using near infrared spectroscopy to obtain NIR spectra. Simultaneously, a blood sample of glucose was drawn. A new method based on Monte Carlo approach is applied for partial least squares (PLS), named as PLS[sub MC], is proposed. A large numbers of models are built from calibration subsets which are randomly selected from the whole calibration set in order to minimize the noises. It is then determining the mean value over the models with high correlation and small prediction errors. The results show that the method can enhance the stability of PLS model. Also, the performance of the PLS[sub MC] shows more accurate prediction results as compared with conventional PLS.
Author name used in this publication: C. F. So
Author name used in this publication: Joanne W. Y. Chung
Author name used in this publication: Maggie S. M. Siu
URI: http://ira.lib.polyu.edu.hk/handle/10397/6587
Standard no: Spectroscopy, 2011, v. 25, no. 3-4, p. 137-145.
0712-4813 (print)
1875-922X (online)
137
145
25
4-Mar
10.3233/SPE-2011-0507
Appears in Collections:Nursing

Files in This Item:
Click on the URI links for accessing contents.


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