2019 4th International Conference on Information Systems and Computer Networks (ISCON) 2019
DOI: 10.1109/iscon47742.2019.9036239
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ANN Based Design of SRR Loaded Patch Antenna for Non-Invasive Blood Glucose Monitoring

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Cited by 8 publications
(3 citation statements)
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“…The resonator has a bandwidth from 21.079 to 27.59 GHz with the sensor stacked on the tissue of patients with diabetes. The change of glucose concentration in the blood will affect the relative permittivity and conductivity of the blood, resulting in a change in the resonant frequency of the subwavelength resonator [ 29 ]. In 2020, Afia Ibnath et al used CSRR for non-destructive detection of blood sugar levels and noted that CSRR is more suitable for this design than SRR of the same size [ 30 ].…”
Section: Introductionmentioning
confidence: 99%
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“…The resonator has a bandwidth from 21.079 to 27.59 GHz with the sensor stacked on the tissue of patients with diabetes. The change of glucose concentration in the blood will affect the relative permittivity and conductivity of the blood, resulting in a change in the resonant frequency of the subwavelength resonator [ 29 ]. In 2020, Afia Ibnath et al used CSRR for non-destructive detection of blood sugar levels and noted that CSRR is more suitable for this design than SRR of the same size [ 30 ].…”
Section: Introductionmentioning
confidence: 99%
“…The experiments were performed by changing the concentration of the solution in the holder. Differently from [ 29 , 30 ], the insertion loss was measured including the real, imaginary part and phase shift. Importantly, the trends between the insertion loss and the solution concentration are opposite at different frequency points, which is reported for the first time in relevant literature.…”
Section: Introductionmentioning
confidence: 99%
“…While sensitivity can be enhanced by active circuitry techniques [33][34][35][36], selectivity seems only to be addressable by acquisition of redundant information by means of multi-sensor or multi-parameter measurements [28,31,[37][38][39]. The advancements in machine-learning techniques cast growing optimism on these multi-parameter fusion approaches [40][41][42][43], which could lead to considerable gains of selectivity and robustness [38,[44][45][46]. In this framework, looking at the literature, one can find up-to-date reviews of planar microwave sensors for general dielectric permittivity measurements [47][48][49], electromagnetic sensors for general biomedical [50,51] or industry [52] applications, and multitechnology sensors for glucose sensing in both health and industry contexts [28,29,[53][54][55][56][57][58], but not a specialized review of planar microwave resonant glucose sensors.…”
Section: Introductionmentioning
confidence: 99%