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 …

[HTML][HTML] QUCoughScope: an intelligent application to detect COVID-19 patients using cough and breath sounds

T Rahman, N Ibtehaz, A Khandakar, MSA Hossain… - Diagnostics, 2022 - mdpi.com
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 …

[HTML][HTML] A systematic review on cough sound analysis for Covid-19 diagnosis and screening: is my cough sound COVID-19?

KC Santosh, N Rasmussen, M Mamun… - PeerJ Computer Science, 2022 - peerj.com
For COVID-19, the need for robust, inexpensive, and accessible screening becomes critical.
Even though symptoms present differently, cough is still taken as one of the primary …

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 …

[HTML][HTML] AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app

A Imran, I Posokhova, HN Qureshi, U Masood… - Informatics in medicine …, 2020 - Elsevier
Background The inability to test at scale has become humanity's Achille's heel in the
ongoing war against the COVID-19 pandemic. A scalable screening tool would be a game …

[HTML][HTML] A study of using cough sounds and deep neural networks for the early detection of COVID-19

R Islam, E Abdel-Raheem, M Tarique - Biomedical Engineering Advances, 2022 - Elsevier
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 …

COVID-19 artificial intelligence diagnosis using only cough recordings

J Laguarta, F Hueto, B Subirana - IEEE Open Journal of …, 2020 - ieeexplore.ieee.org
Goal: We hypothesized that COVID-19 subjects, especially including asymptomatics, could
be accurately discriminated only from a forced-cough cell phone recording using Artificial …

Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method

NK Chowdhury, MA Kabir, MM Rahman… - Computers in Biology …, 2022 - Elsevier
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 …

Virufy: Global applicability of crowdsourced and clinical datasets for AI detection of COVID-19 from cough

G Chaudhari, X Jiang, A Fakhry, A Han, J Xiao… - arXiv preprint arXiv …, 2020 - arxiv.org
Rapid and affordable methods of testing for COVID-19 infections are essential to reduce
infection rates and prevent medical facilities from becoming overwhelmed. Current …

[HTML][HTML] MSCCov19Net: multi-branch deep learning model for COVID-19 detection from cough sounds

S Ulukaya, AA Sarıca, O Erdem, A Karaali - Medical & Biological …, 2023 - Springer
Coronavirus has an impact on millions of lives and has been added to the important
pandemics that continue to affect with its variants. Since it is transmitted through the …