Frequency Characterization for Glucose Detection with Software Defined Radio

被引：0
|
作者：
Shaikh, Faheem [1 ]
Laha, Soumyasanta [1 ]
机构：
[1] Calif State Univ Fresno, Dept Elect & Comp Engn, Fresno, CA USA
来源：
2023 IEEE WIRELESS AND MICROWAVE TECHNOLOGY CONFERENCE, WAMICON | 2023年
关键词：
electromagnetic glucose sensing; software-defined radio; frequency characterization;
D O I：
10.1109/WAMICON57636.2023.10124893
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
An in-vitro study for non-invasive glucose detection using the method of electromagnetic (microwave) sensing is conducted using the programmable and tunable software-defined radio (SDR). The study determines the frequency or a range of frequency that is found to exhibit the highest correlation with different glucose concentration. The transmitted frequency range varies between 700 MHz to 6 GHz. When the transmitted base-band signal from the SDR is modulated at a specific carrier frequency and is allowed to pass through a glucose solution, the receiver end of the SDR detects the power level at the base-band power spectrum. It has been observed at center frequencies below 2.4 GHz, the power level is highly linear with glucose concentration. Specifically, the highest correlation is observed at a frequency of 1.7 GHz at which the application of simple linear regression led to R-squared coefficients of 91%. So far, to our knowledge there has been no such systematic study on frequency characterization to determine the frequency that has the highest correlation of power level with variation in glucose concentration.
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页数：4
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