학술논문
ANN Based Design of SRR Loaded Patch Antenna for Non-Invasive Blood Glucose Monitoring
Document Type
Conference
Source
2019 4th International Conference on Information Systems and Computer Networks (ISCON) Information Systems and Computer Networks (ISCON), 2019 4th International Conference on. :279-283 Nov, 2019
Subject
Language
Abstract
A novel design of a wideband antenna is proposed in this paper for monitoring the blood glucose concentration in the human body. The designed antenna uses a metamaterial in the form of a split-ring resonator (SRR) loading on a radiating patch. It has a compact size of $(14\times 17\times 1.57)\ \text{mm}^{3}$. The proposed antenna has realized a gain of about 6.96 dBi and 3.65 dBi at frequencies 21.65 GHz and 25.35 GHz respectively. It has a wide band of 6.49 GHz ranging from 21.097 GHz to 27.59 GHz which covers the 5G frequency band as well. The proposed RF sensor based on SRR loaded patch antenna is simulated and fabricated in the lab for stacking with 3D models of human tissues to investigate its performance. Further, an optimization technique called, Artificial Neural Network (ANN) has also been used to optimize the antenna parameters in terms of bandwidth.