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Noninvasive Blood Glucose Monitoring System Based on Distributed Multi-Sensors Information Fusion of Multi-Wavelength NIR
School of Information Science and Engineering, Lanzhou University, Lanzhou, China
School of Information Science and Engineering, Lanzhou University, Lanzhou, China
School of Information Science and Engineering, Lanzhou University, Lanzhou, China
School of Information Science and Engineering, Lanzhou University, Lanzhou, China
School of Information Science and Engineering, Lanzhou University, Lanzhou, China
School of Information Science and Engineering, Lanzhou University, Lanzhou, China
- 1 School of Information Science and Engineering, Lanzhou University, Lanzhou, China
- 2 School of Information Science and Engineering, Lanzhou University, Lanzhou, China
- 3 School of Information Science and Engineering, Lanzhou University, Lanzhou, China
- 4 School of Information Science and Engineering, Lanzhou University, Lanzhou, China
- 5 School of Information Science and Engineering, Lanzhou University, Lanzhou, China
- 6 School of Information Science and Engineering, Lanzhou University, Lanzhou, China
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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 0.088 mmol / L , and the correlation coef ficient 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.
KeywordsNoninvasive Glucose MonitoringNIR Arrays Signals FusionBP-Artificial Neural Network
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