A comparison analysis between partial least squares and Neural Network in non-invasive blood glucose concentration monitoring system

Chuah Zheng Ming; Paramesran Raveendran; Poh Sin Chew

doi:10.1109/ICBPE.2009.5384079

A comparison analysis between partial least squares and Neural Network in non-invasive blood glucose concentration monitoring system

Chuah Zheng Ming, Paramesran Raveendran, Poh Sin Chew

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

3 Citations (Scopus)

Abstract

A non-invasive blood glucose monitoring system with six laser diodes is used to obtain a total of 290 NIR spectra from the Oral Glucose Tolerance Test (OGTT) experiment with the participation of a healthy volunteer over 4 days. Each laser diode operates at the discrete wavelengths between 1500nm and 1800nm with the power of 6mW each. A comparative analysis using the Partial Least Squares (PLS) model and the Neural Network (NN) model is studied. The study shows that the NN model performs better than the PLS model due to the presence of nonlinearity in the collected data. The presence of the nonlinearity is tested by using the Durbin-Watson test.

Original language	English
Title of host publication	2nd International Conference on Biomedical and Pharmaceutical Engineering, ICBPE 2009 - Conference Proceedings
DOIs	https://doi.org/10.1109/ICBPE.2009.5384079
Publication status	Published - 2009
Externally published	Yes
Event	International Conference on Biomedical and Pharmaceutical Engineering 2009 - Singapore, Singapore Duration: 2 Dec 2009 → 4 Dec 2009 Conference number: 2nd https://ieeexplore.ieee.org/xpl/conhome/5372015/proceeding (Proceedings)

Conference

Conference	International Conference on Biomedical and Pharmaceutical Engineering 2009
Abbreviated title	ICBPE 2009
Country/Territory	Singapore
City	Singapore
Period	2/12/09 → 4/12/09
Internet address	https://ieeexplore.ieee.org/xpl/conhome/5372015/proceeding (Proceedings)

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10.1109/ICBPE.2009.5384079

Cite this

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title = "A comparison analysis between partial least squares and Neural Network in non-invasive blood glucose concentration monitoring system",

abstract = "A non-invasive blood glucose monitoring system with six laser diodes is used to obtain a total of 290 NIR spectra from the Oral Glucose Tolerance Test (OGTT) experiment with the participation of a healthy volunteer over 4 days. Each laser diode operates at the discrete wavelengths between 1500nm and 1800nm with the power of 6mW each. A comparative analysis using the Partial Least Squares (PLS) model and the Neural Network (NN) model is studied. The study shows that the NN model performs better than the PLS model due to the presence of nonlinearity in the collected data. The presence of the nonlinearity is tested by using the Durbin-Watson test.",

author = "Ming, {Chuah Zheng} and Paramesran Raveendran and Chew, {Poh Sin}",

year = "2009",

doi = "10.1109/ICBPE.2009.5384079",

language = "English",

isbn = "9781424447640",

booktitle = "2nd International Conference on Biomedical and Pharmaceutical Engineering, ICBPE 2009 - Conference Proceedings",

note = "International Conference on Biomedical and Pharmaceutical Engineering 2009, ICBPE 2009 ; Conference date: 02-12-2009 Through 04-12-2009",

url = "https://ieeexplore.ieee.org/xpl/conhome/5372015/proceeding",

}

Ming, CZ, Raveendran, P & Chew, PS 2009, A comparison analysis between partial least squares and Neural Network in non-invasive blood glucose concentration monitoring system. in 2nd International Conference on Biomedical and Pharmaceutical Engineering, ICBPE 2009 - Conference Proceedings. International Conference on Biomedical and Pharmaceutical Engineering 2009, Singapore, Singapore, 2/12/09. https://doi.org/10.1109/ICBPE.2009.5384079

A comparison analysis between partial least squares and Neural Network in non-invasive blood glucose concentration monitoring system. / Ming, Chuah Zheng; Raveendran, Paramesran; Chew, Poh Sin.
2nd International Conference on Biomedical and Pharmaceutical Engineering, ICBPE 2009 - Conference Proceedings. 2009.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AB - A non-invasive blood glucose monitoring system with six laser diodes is used to obtain a total of 290 NIR spectra from the Oral Glucose Tolerance Test (OGTT) experiment with the participation of a healthy volunteer over 4 days. Each laser diode operates at the discrete wavelengths between 1500nm and 1800nm with the power of 6mW each. A comparative analysis using the Partial Least Squares (PLS) model and the Neural Network (NN) model is studied. The study shows that the NN model performs better than the PLS model due to the presence of nonlinearity in the collected data. The presence of the nonlinearity is tested by using the Durbin-Watson test.

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T2 - International Conference on Biomedical and Pharmaceutical Engineering 2009

Y2 - 2 December 2009 through 4 December 2009

ER -

A comparison analysis between partial least squares and Neural Network in non-invasive blood glucose concentration monitoring system

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