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A two-level partial least squares system for non-invasive blood glucose concentration prediction

In this study, we propose and demonstrate a novel two-Level Partial Least Squares (2L-PLS) architecture for non-invasive blood glucose concentration measurement. A total of 290 Near-Infrared (NIR) spectroscopy readings from six laser diodes with discrete wavelengths of between 1500 nm and 1800 nm ar...

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Main Authors: Chuah, Zheng-Ming, Paramesran, R., Thambiratnam, K., Poh, Sin-Chew
Format: Article
Published: Elsevier 2010
Subjects:
Q Science (General)
Online Access:http://eprints.um.edu.my/11670/
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spelling my.um.eprints.116702015-01-07T05:54:09Z http://eprints.um.edu.my/11670/ A two-level partial least squares system for non-invasive blood glucose concentration prediction Chuah, Zheng-Ming Paramesran, R. Thambiratnam, K. Poh, Sin-Chew Q Science (General) In this study, we propose and demonstrate a novel two-Level Partial Least Squares (2L-PLS) architecture for non-invasive blood glucose concentration measurement. A total of 290 Near-Infrared (NIR) spectroscopy readings from six laser diodes with discrete wavelengths of between 1500 nm and 1800 nm are obtained together with blood glucose concentration readings collected via Oral Glucose Tolerance Test (OGTT) experiments from a healthy volunteer over 4 days. While the conventional approach to predicting the blood glucose concentrations is to use a single Partial Least Squares (PLS) or non-linear PLS model, these systems do not achieve a high level of accuracy. As such, a 2L-PLS system consisting of one PLS model at the first level and three at the second level is proposed to enhance the prediction accuracy. A non-linear 2L-PLS system based on the same structure is also investigated in this study. The proposed 2L-PLS systems show improvements of 10 to 12% in the number of predictions that fall below a 5% error margin as compared to single-level PLS systems. (C) 2010 Elsevier B.V. All rights reserved. Elsevier 2010 Article PeerReviewed Chuah, Zheng-Ming and Paramesran, R. and Thambiratnam, K. and Poh, Sin-Chew (2010) A two-level partial least squares system for non-invasive blood glucose concentration prediction. Chemometrics and Intelligent Laboratory Systems, 104 (2). pp. 347-351.
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic Q Science (General)
spellingShingle Q Science (General)
Chuah, Zheng-Ming
Paramesran, R.
Thambiratnam, K.
Poh, Sin-Chew
A two-level partial least squares system for non-invasive blood glucose concentration prediction
description In this study, we propose and demonstrate a novel two-Level Partial Least Squares (2L-PLS) architecture for non-invasive blood glucose concentration measurement. A total of 290 Near-Infrared (NIR) spectroscopy readings from six laser diodes with discrete wavelengths of between 1500 nm and 1800 nm are obtained together with blood glucose concentration readings collected via Oral Glucose Tolerance Test (OGTT) experiments from a healthy volunteer over 4 days. While the conventional approach to predicting the blood glucose concentrations is to use a single Partial Least Squares (PLS) or non-linear PLS model, these systems do not achieve a high level of accuracy. As such, a 2L-PLS system consisting of one PLS model at the first level and three at the second level is proposed to enhance the prediction accuracy. A non-linear 2L-PLS system based on the same structure is also investigated in this study. The proposed 2L-PLS systems show improvements of 10 to 12% in the number of predictions that fall below a 5% error margin as compared to single-level PLS systems. (C) 2010 Elsevier B.V. All rights reserved.
format Article
author Chuah, Zheng-Ming
Paramesran, R.
Thambiratnam, K.
Poh, Sin-Chew
author_facet Chuah, Zheng-Ming
Paramesran, R.
Thambiratnam, K.
Poh, Sin-Chew
author_sort Chuah, Zheng-Ming
title A two-level partial least squares system for non-invasive blood glucose concentration prediction
title_short A two-level partial least squares system for non-invasive blood glucose concentration prediction
title_full A two-level partial least squares system for non-invasive blood glucose concentration prediction
title_fullStr A two-level partial least squares system for non-invasive blood glucose concentration prediction
title_full_unstemmed A two-level partial least squares system for non-invasive blood glucose concentration prediction
title_sort two-level partial least squares system for non-invasive blood glucose concentration prediction
publisher Elsevier
publishDate 2010
url http://eprints.um.edu.my/11670/
_version_ 1643689112236982272
score 13.211869

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