Recently deep learning has attained a breakthrough in model accuracy for the classification
of images due mainly to convolutional neural networks. In the present study, we attempted to …

Many virological tests have been implemented during the Coronavirus Disease 2019
(COVID-19) pandemic for diagnostic purposes, but they appear unsuitable for screening …

Healthcare sensors represent a valid and non-invasive instrument to capture and analyse
physiological data. Several vital signals, such as voice signals, can be acquired anytime and …

The COVID-19 outbreak was announced as a global pandemic by the World Health
Organization in March 2020 and has affected a growing number of people in the past few …

Since the outbreak of COVID-19, many efforts have been made to utilize the respiratory
sounds and coughs collected by smartphones for training Machine Learning models to …

The Covid-19 pandemic represents one of the greatest global health emergencies of the last
few decades with indelible consequences for all societies throughout the world. The cost in …

Alongside the currently used nasal swab testing, the COVID-19 pandemic situation would
gain noticeable advantages from low-cost tests that are available at any-time, anywhere, at a …

Automated voice-based detection of severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2) could facilitate the screening for COVID19. A dataset of cellular phone …

COVID-19 heavily affects breathing and voice and causes symptoms that make patients'
voices distinctive, creating recognizable audio signatures. Initial studies have already …

The problem of respiratory sound classification has received good attention from the clinical
scientists and medical researcher's community in the last year to the diagnosis of COVID-19 …