Blood Glucose Measurement and Analysis: Methodology

Authors: I. M. Abd Rahim, H. Abdul Rahim, R. Ghazali

Abstract:

There is numerous non-invasive blood glucose measurement technique developed by researchers, and near infrared (NIR) is the potential technique nowadays. However, there are some disagreements on the optimal wavelength range that is suitable to be used as the reference of the glucose substance in the blood. This paper focuses on the experimental data collection technique and also the analysis method used to analyze the data gained from the experiment. The selection of suitable linear and non-linear model structure is essential in prediction system, as the system developed need to be conceivably accurate.

Keywords: Invasive, linear, near-infrared (Nir), non-invasive, non-linear, prediction system.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1129728

References:

[1] WHO, W. H. O. 2014. Facts and figures about diabetes (Online). Available: http://www.who.int/en/ (Accessed 2014).
[2] So, C. F., Choi, K.-S., Chung, J. W. Y. & Wong, T. K. S. An extension to the discriminant analysis of near-infrared spectra. Medical Engineering & Physics, 35, 172-177, 2013.
[3] Amaral, C.F., M. Brischwein, and B. Wolf, Multiparameter techniques for non-invasive measurement of blood glucose. Sensors and Actuators B: Chemical, 2009. 140(1): p. 12-16.
[4] Caduff, A., et al., Non-invasive glucose monitoring in patients with diabetes: A novel system based on impedance spectroscopy. Biosensors and Bioelectronics, 2006. 22(5): p. 598-604.
[5] Caduff, A., et al., Non-invasive glucose monitoring in patients with Type 1 diabetes: A Multisensor system combining sensors for dielectric and optical characterisation of skin. Biosensors and Bioelectronics, 2009. 24(9): p. 2778-2784.
[6] Sivanandam, S., et al., Estimation of blood glucose by non-invasive infrared thermography for diagnosis of type 2 diabetes: An alternative for blood sample extraction. Molecular and Cellular Endocrinology, 2013. 367(1–2): p. 57-63.
[7] Saiga, N., C. Hamada, and J. Ikeda, Near infrared spectroscopy assessment of the glucose solution processed by ultrasonic cavitation. Ultrasonics, 2006. 44, Supplement (0): p. e101-e104.
[8] Anas, M.N., et al. Non-invasive blood glucose measurement Application of near infrared optical measurement. in Sustainable Utilization and Development in Engineering and Technology (Student), 2012 IEEE Conference on. 2012.
[9] Chuah, Z.-M., et al., A two-level partial least squares system for non-invasive blood glucose concentration prediction. Chemometrics and Intelligent Laboratory Systems, 2010. 104(2): p. 347-351.
[10] Clarke, W. L., Cox, D., Gonder-Frederick, L. A., Carter, W. & Pohl, S. L. Evaluating Clinical Accuracy of Systems for Self-Monitoring of Blood Glucose. Diabetes Care, 10, 622-628, 1987
[11] Valyi-Nagy, I., Kaffka, K. J., Jako, J. M., Gonczol, É. & Domjan, G. Application of near infrared spectroscopy to the determination of haemoglobin. Clinica Chimica Acta, 264, 117-125, 1997.
[12] Wold, S., Antti, H., Lindgren, F. & Öhman, J. Orthogonal signal correction of near-infrared spectra. Chemometrics and Intelligent Laboratory Systems, 44, 175-185, 1998.
[13] Sorol, N., et al., Visible/near infrared-partial least-squares analysis of Brix in sugar cane juice: A test field for variable selection methods. Chemometrics and Intelligent Laboratory Systems, 2010. 102(2): p. 100-109.
[14] So, C.F., et al., Improved stability of blood glucose measurement in humans using near infrared spectroscopy. Spectroscopy, 2011. 25(3-4): p. 137-145.