Non-Invasive Blood Glucose Estimation System Based on a Neural Network with Dual-Wavelength Photoplethysmography and Bioelectrical Impedance Measuring

Non-Invasive Blood Glucose Estimation System Based on a Neural Network with Dual-Wavelength Photoplethysmography and Bioelectrical Impedance Measuring

This study proposed a noninvasive blood glucose estimation system based on dual-wavelength photoplethysmography (PPG) and bioelectrical impedance measuring technology that can avoid the discomfort created by conventional invasive blood glucose measurement methods while accurately estimating blood gl...

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Bibliographic Details
Main Authors: Chih-Ta Yen, Un-Hung Chen, Guo-Chang Wang, Zong-Xian Chen
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Sensors
Subjects:
blood glucose estimation
photoplethysmography (PPG)
bioelectrical impedance
principal component analysis (PCA)
back-propagation neural network (BPNN)
Online Access:https://www.mdpi.com/1424-8220/22/12/4452

Internet

https://www.mdpi.com/1424-8220/22/12/4452

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