A planar microwave sensor for noninvasive detection of glucose concentration using regression analysis

Autor: Tilakdhari Singh, Piyush Kumar Mishra, Aditya Pal, Vijay Shanker Tripathi
Rok vydání: 2023
Předmět:
Zdroj: International Journal of Microwave and Wireless Technologies. :1-11
ISSN: 1759-0795
1759-0787
DOI: 10.1017/s1759078723000545
Popis: This paper presents a planar microwave sensor for the noninvasive detection of glucose concentration in diabetic patients. The designed sensor operates from the 3.8 to 6.2 GHz frequency band, which covers the 5.8 GHz Industrial Scientific and Medical (ISM) band. The designed sensor shows a percentage bandwidth of 23.8% with a reflection coefficient (S11) of −50 dB at the resonance frequency of 5.7 GHz. The detection was carried out by varying the relative permittivity of the blood in accordance with the glucose concentration based on the Cole–Cole model. The measured result is calculated in terms of varying resonance frequency with variation in the reflection coefficient |S11| of the designed sensor. The observed frequency shift and corresponding sensitivity of the sensor are found at 1.7 GHz and 0.089 MHz/mg dL−1, respectively. An experimental validation has also been performed, and the frequency shift is analyzed by interacting the human thumb with the sensor. The simulated and experimental results of the designed sensor suggest that it can be useful for detecting glucose concentration noninvasively for diabetic patients.
Databáze: OpenAIRE