Noninvasive Blood Glucose Monitoring System Based on Distributed Multi-Sensors Information Fusion of Multi-Wavelength NIR

Bo Zeng, Wei Wang, Na Wang, Funing Li, Fulong Zhai, Lintao Hu

School of Information Science and Engineering, Lanzhou University, Lanzhou, China.

DOI: 10.4236/eng.2013.510B114                

Abstract

In this research, a near infrared multi-wavelength noninvasive blood glucose monitoring system with distributed laser multi-sensors is applied to monitor human blood glucose concentration. In order to improve the monitoring accuracy, a multi-sensors information fusion model based on Back Propagation Artificial Neural Network is proposed. The Root- Mean-Square Error of Prediction for noninvasive blood glucose measurement is 0.088mmol/L, and the correlation coefficient is 0.94. The noninvasive blood glucose monitoring system based on distributed multi-sensors information fusion of multi-wavelength NIR is proved to be of great efficient. And the new proposed idea of measurement based on distri- buted multi-sensors, shows better prediction accuracy.

Keywords

Noninvasive Glucose Monitoring; NIR Arrays Signals Fusion; BP-Artificial Neural Network

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	A. A. Mbaideen and M. Benaissa, “Determination of Glucose Concentration from NIR Spectra Using Independent Component Regression,” Chemometrics and Intelligent Laboratory Systems, Vol. 105, No. 1, 2010, pp. 131-135. http://dx.doi.org/10.1016/j.chemolab.2010.11.008
[2]	M. Rohrscheib, R. Robinson and R. P. Eaton, “Non-Invasive Glucose Sensors and Improved Informatics—The Future of Diabetes Management,” Diabetes, Obesity and Metabolism, Vol. 5, No. 5, 2003, pp. 280-284. http://dx.doi.org/10.1046/j.1463-1326.2003.00275.x
[3]	H. V. L. Toal, M. Weidenmuller, A. Xhelaj and W. Mantele, “A Novel Approach to Non-Invasive Glucose Measurement by Mid-Infrared Spectroscopy: The Combination of Quantum Cascade Lasers (QCL) and Photoacoustic Detection,” Vibrational Spectroscopy, Vol. 38, No. 1- 2, 2005, pp. 209-215. http://dx.doi.org/10.1016/j.vibspec.2005.02.025
[4]	M. Mueller, M. Grunze, E. H. Leiter, P. C. Reifsnyder, U. Klueh and D. Kreutzer, “Non-Invasive Glucose Measurements in Mice Using Mid-Infrared Emission Spectroscopy,” Sensors and Actuators B: Chemical, Vol. 142, No. 2, 2009, pp. 502-508. http://dx.doi.org/10.1016/j.snb.2009.08.048
[5]	K. Maruo, M. Tsurugi, J. Chin, T. Ota, H. Arimoto and Y. Yamada, “Noninvasive Blood Glucose Assay Using a Newly Developed Near-Infrared System,” IEEE Journal of Selected Topics in Quantum Electronics, Vol. 9, No. 2, 2003, pp. 322-399. http://dx.doi.org/10.1109/JSTQE.2003.811283
[6]	K. X. Xu, Q. J. Qiu, J. Y. Jiang and X. Y. Yang, “Non- Invasive Glucose Sensing with Near-Infrared Spectroscopy Enhanced by Optical Measurement Conditions Reproduction Technique,” Optics and Lasers in Engineering, Vol. 43, No. 10, 2004, pp. 1096-1106. http://dx.doi.org/10.1016/j.optlaseng.2004.06.018
[7]	W. Wang, L. F. Yan, B. W. Liu and H. Zhang, “Multi-sensors Information Fusion With Neural Networks for Noninvasive Blood Glucose Detection,” Lecture Notes in Computer Science, Vol. 3498, 2005, pp. 760-766. http://dx.doi.org/10.1007/11427469_121
[8]	Y. L. Yeh, “Real-Time Measurement of Glucose Concentration and Average Refractive Index Using a Laser Interferometer,” Optics and Lasers in Engineering, Vol. 46, No. 9, 2008, pp. 666-670. http://dx.doi.org/10.1016/j.optlaseng.2008.04.008
[9]	Q. B. Li, L. N. Li and G. J. Zhang, “A Nonlinear Model for Calibration of Blood Glucose Noninvasive Measurement Using Near Infrared Spectroscopy,” Infrared Physics & Technology, Vol. 53, No. 5, 2010, pp. 410-417. http://dx.doi.org/10.1016/j.infrared.2010.07.012
[10]	A. Caduff, M. S. Talary, M. Mueller, F. Dewarrat, J. Klisic, M. Donath, L. Heinemann and W. A. Stahel, “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, Vol. 24, No. 9, 2009, pp. 2778- 2784. http://dx.doi.org/10.1016/j.bios.2009.02.001