Assessment of Finger Fat Pad Effect on CSRR-Based Sensor Scattering Parameters for Non-Invasive Blood Glucose Level Detection.

Autor: Hannachi C; Institut Matériaux Microélectronique Nanosciences de Provence (IM2NP), UMR CNRS 7334, Aix-Marseille Université, 5 Rue Enrico Fermi, 13453 Marseille, France., Deshours F; Laboratoire Génie Électrique et Électronique de Paris (GeePs), UMR 8507 CNRS, Sorbonne Université, 4 Place Jussieu, 75005 Paris, France., Alquie G; Laboratoire Génie Électrique et Électronique de Paris (GeePs), UMR 8507 CNRS, Sorbonne Université, 4 Place Jussieu, 75005 Paris, France., Kokabi H; Laboratoire Génie Électrique et Électronique de Paris (GeePs), UMR 8507 CNRS, Sorbonne Université, 4 Place Jussieu, 75005 Paris, France.
Jazyk: angličtina
Zdroj: Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Jan 02; Vol. 23 (1). Date of Electronic Publication: 2023 Jan 02.
DOI: 10.3390/s23010473
Abstrakt: This paper examines the effect of finger fat pad thickness on the accuracy performance of complementary split-ring resonator (CSRR)-based microwave sensors for non-invasive blood glucose level detection. For this purpose, a simplified four-layer Cole-Cole model along with a CSRR-based microwave sensor have been comprehensively analyzed and validated through experimentation. Computed scattering parameter (S-parameter) responses to different fat layer thicknesses are employed to verify the concordance of the studied model with the measurement results. In this respect, a figure of merit (FM) based on the normalized squared difference is introduced to assess the accuracy of the considered Cole-Cole model. We have demonstrated that the analyzed model agrees closely with the experimental validation. In fact, the maximum error difference for all five fingertips does not exceed 1.73 dB over the entire frequency range of interest, from 1 GHz to 4 GHz.
Databáze: MEDLINE
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