A Contactless Glucose Solution Concentration Measurement System Based on Improved High Accurate FMCW Radar Algorithm

被引：0
|
作者：
Liu, Chengjie [1 ]
Du, Yuan [1 ]
Du, Li [1 ]
机构：
[1] Nanjing Univ, Sch Elect Sci & Engn, Nanjing 210000, Peoples R China
来源：
SENSORS | 2022年 / 22卷 / 11期
关键词：
FMCW radar; wavelet transform; deep learning algorithm; PSD; sparrow search algorithm; convolutional neural network; WAVELET TRANSFORM;
D O I：
10.3390/s22114126
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
To reduce the pain and the probability of cross-infection caused by the invasive blood glucose testing instruments, the ex vivo glucose measurement is of high significance. The electrical property of blood varies with the density of the glucose, which can be sensed by measuring its reflected coefficient in millimeter-wave. In this article, we built a contactless glucose solution concentration measurement system based on 77-GHz FMCW radar. Several preliminary signal processing algorithms are cascaded with a deep neural network to improve the accuracy of glucose solution concentration measurement. Our experiment shows that the resolution of this ex vivo glucose measurement can achieve up to 0.1 mg/mL.
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页数：14
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