Rapid and scalable COVID-19 screening using speech, breath, and cough recordings
Over the course of the COVID-19 pandemic, efforts have been made to rapidly scale
diagnostic tests to increase access and throughput. Though the primary mechanism for …
diagnostic tests to increase access and throughput. Though the primary mechanism for …
The health-related quality of life and voice handicap index in recovered COVID-19 patients in comparison to healthy subjects
Introduction COVID-19 has various long-lasting effects on different aspects of health and life.
This study aimed to evaluate the general health and voice-related quality of life (QOL) and …
This study aimed to evaluate the general health and voice-related quality of life (QOL) and …
[HTML][HTML] Reliability of the Acoustic Voice Quality Index AVQI and the Acoustic Breathiness Index (ABI) when wearing COVID-19 protective masks
B Lehnert, J Herold, M Blaurock, CJ Busch - European Archives of Oto …, 2022 - Springer
Abstract Purpose Investigating whether the Acoustic Voice Quality Index (AVQI) and the
Acoustic Breathiness Index (ABI) are valid and comparable to previous unmasked …
Acoustic Breathiness Index (ABI) are valid and comparable to previous unmasked …
A residual network-based deep learning model for the detection of COVID-19 using cough sounds
A Banerjee, A Nilhani - … -19 Pneumonia Lung Imaging, Volume 1 …, 2022 - iopscience.iop.org
The method proposed in this chapter addresses the task of discrimination of COVID-19
coughs from non-COVID-19 coughs by using a deep learning model fed with the log-Mel …
coughs from non-COVID-19 coughs by using a deep learning model fed with the log-Mel …
[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 …
[HTML][HTML] CovNet: A transfer learning framework for automatic COVID-19 detection from crowd-sourced cough sounds
Since the COronaVIrus Disease 2019 (COVID-19) outbreak, developing a digital diagnostic
tool to detect COVID-19 from respiratory sounds with computer audition has become an …
tool to detect COVID-19 from respiratory sounds with computer audition has become an …
[HTML][HTML] Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough …
The issue in respiratory sound classification has attained good attention from the clinical
scientists and medical researcher's group in the last year to diagnosing COVID-19 disease …
scientists and medical researcher's group in the last year to diagnosing COVID-19 disease …
[HTML][HTML] COVID-19 diagnosis from crowdsourced cough sound data
MJ Son, SP Lee - Applied Sciences, 2022 - mdpi.com
The highly contagious and rapidly mutating COVID-19 virus is affecting individuals
worldwide. A rapid and large-scale method for COVID-19 testing is needed to prevent …
worldwide. A rapid and large-scale method for COVID-19 testing is needed to prevent …
[HTML][HTML] High accuracy classification of COVID-19 coughs using Mel-frequency cepstral coefficients and a Convolutional Neural Network with a use case for smart …
Diagnosing COVID-19 early in domestic settings is possible through smart home devices
that can classify audio input of coughs, and determine whether they are COVID-19 …
that can classify audio input of coughs, and determine whether they are COVID-19 …
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 …