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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

has been cited by the following article:

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

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

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

  JOURNAL NAME: Engineering, Vol.5 No.10B, December 31, 2013

  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.