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.