ABSTRACT
This paper presents a novel unique microstrip fractal patch antenna with a COVID-19 shape designed for wireless applications. The COVID-19 antenna is a compact, miniature size, multiband, low weight, and low-cost patch antenna;the demonstrated patch antenna, simulated using the HFSS software program, consists of a circular printed patch with a radius of 0.4 cm surrounded by 5 pairs of crowns. The antenna is implemented on a double-sided copper plate with an FR4-epoxy substrate of 1 × 1 cm2 area and 1.6 mm thickness. This small patch operates and resonates on two frequencies 7.5 GHz and 17 GHz within C and Ku bands, respectively. The simulated and measured gains were respectively 0.8 dB and 0.2 dB at the lower frequency and 2.21 dB and 2 dB at the higher frequency. A coaxial probe feeding method is used in the simulation, and printed prototypes showed excellent consistency between measured and simulated resonance frequencies. © 2022, Electromagnetics Academy. All rights reserved.
ABSTRACT
Cough-based COVID-19 detection has shown competitive results through artificial intelligence. In this paper, we proposed a cough-based COVID-19 detection method that made full use of frequency information at different stage. In the feature extraction stage, we proposed band weighted Mel-Frequency Cepstral Coefficients to emphasize features at different frequency bands;in the classification stage, we proposed a multi-band Long-Short Term Memory Convolutional Neural Network with attention mechanism to capture detailed features in the frequency domain. We also combined SpecAugment and Mixup to improve the generalization ability of our proposed model. We evaluated the performance of our proposed model on the dataset of DiCOVA challenge 2021 and our collected dataset. Experimental results showed that the AUC of our model outperformed the first place of DiCOVA challenge 2021 by 5.11% absolutely on average. © 2021 ACM.