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http://hdl.handle.net/10397/6587
| Title: | Improved stability of blood glucose measurement in humans using near infrared spectroscopy | Authors: | So, CF Chung, J Siu, SMM Wong, TKS |
Issue Date: | 2011 | Source: | Spectroscopy, 2011, v. 25, no. 3-4, p. 137-145 | Abstract: | 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. | Keywords: | Blood glucose Partial least squares Near infrared Prediction model Spectroscopy |
Publisher: | Hindawi Publishing Corporation | Journal: | Spectroscopy | ISSN: | 0712-4813 (print) 1875-922X (online) |
DOI: | 10.3233/SPE-2011-0507 | Rights: | Copyright © 2011 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 |
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|---|---|---|---|---|
| So_Glucose_Infrared_Spectroscopy.pdf | 183.45 kB | Adobe PDF | View/Open |
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