[HTML][HTML] Automated detection of COVID-19 cough
Easy detection of COVID-19 is a challenge. Quick biological tests do not give enough
accuracy. Success in the fight against new outbreaks depends not only on the efficiency of …
accuracy. Success in the fight against new outbreaks depends not only on the efficiency of …
[HTML][HTML] A study of using cough sounds and deep neural networks for the early detection of COVID-19
The current clinical diagnosis of COVID-19 requires person-to-person contact, needs
variable time to produce results, and is expensive. It is even inaccessible to the general …
variable time to produce results, and is expensive. It is even inaccessible to the general …
CR19: A framework for preliminary detection of COVID-19 in cough audio signals using machine learning algorithms for automated medical diagnosis applications
Today, there is a level of panic and chaos dominating the entire world due to the massive
outbreak in the second wave of COVID-19 disease. As the disease has numerous symptoms …
outbreak in the second wave of COVID-19 disease. As the disease has numerous symptoms …
COVID-19 cough classification using machine learning and global smartphone recordings
We present a machine learning based COVID-19 cough classifier which can discriminate
COVID-19 positive coughs from both COVID-19 negative and healthy coughs recorded on a …
COVID-19 positive coughs from both COVID-19 negative and healthy coughs recorded on a …
Project Achoo: a practical model and application for COVID-19 detection from recordings of breath, voice, and cough
A Ponomarchuk, I Burenko, E Malkin… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
The COVID-19 pandemic created significant interest and demand for infection detection and
monitoring solutions. In this paper, we propose a machine learning method to quickly detect …
monitoring solutions. In this paper, we propose a machine learning method to quickly detect …
Deep-learning based approach to identify COVID-19
K Feng, F He, J Steinmann, I Demirkiran - SoutheastCon 2021, 2021 - ieeexplore.ieee.org
COVID-19 is a large-scale contagious respiratory disease that has spread across the world
in 2020. Therefore, a low-cost, fast, and easily available solution is needed to provide a …
in 2020. Therefore, a low-cost, fast, and easily available solution is needed to provide a …
A comparative analysis of deep neural network architectures for the dynamic diagnosis of COVID‐19 based on acoustic cough features
G Sunitha, R Arunachalam… - … Journal of Imaging …, 2022 - Wiley Online Library
The study aims to assess the detection performance of a rapid primary screening technique
for COVID‐19 that is purely based on the cough sound extracted from 2200 clinically …
for COVID‐19 that is purely based on the cough sound extracted from 2200 clinically …
A generic deep learning based cough analysis system from clinically validated samples for point-of-need COVID-19 test and severity levels
J Andreu-Perez, H Pérez-Espinosa… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
In an attempt to reduce the infection rate of the COrona VIrus Disease-19 (Covid-19)
countries around the world have echoed the exigency for an economical, accessible, point …
countries around the world have echoed the exigency for an economical, accessible, point …
Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method
This research aims to analyze the performance of state-of-the-art machine learning
techniques for classifying COVID-19 from cough sounds and to identify the model (s) that …
techniques for classifying COVID-19 from cough sounds and to identify the model (s) that …
[HTML][HTML] QUCoughScope: an intelligent application to detect COVID-19 patients using cough and breath sounds
Problem—Since the outbreak of the COVID-19 pandemic, mass testing has become
essential to reduce the spread of the virus. Several recent studies suggest that a significant …
essential to reduce the spread of the virus. Several recent studies suggest that a significant …