Speech Analysis as a Tool for Detection and Monitoring of Medical Conditions: A review
The goal of this article is to present and compare recent approaches which use speech and
voice analysis as biomarkers for screening tests and monitoring of some diseases. The …
voice analysis as biomarkers for screening tests and monitoring of some diseases. The …
Real-Time Disease and COVID-19 Detection Pipeline from Voice for Performance Sports
A Biró, AI Cuesta-Vargas… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Voice-based disease detection with Artificial Intelligence has the potential to revolutionize
healthcare, offering cost-effective, non-invasive, and accessible diagnostic methods for a …
healthcare, offering cost-effective, non-invasive, and accessible diagnostic methods for a …
A Comparative Study Based on Deep Learning and Machine Learning Methods for COVID-19 Detection Using Audio Signal
COVID-19 is an upper respiratory disease that emerged in the last months of 2019 and
affecting people worldwide. According to the World Health Organization data, it is …
affecting people worldwide. According to the World Health Organization data, it is …
COVID-19 Detection System: A Comparative Analysis of System Performance Based on Acoustic Features of Cough Audio Signals
A wide range of respiratory diseases, such as cold and flu, asthma, and COVID-19, affect
people's daily lives worldwide. In medical practice, respiratory sounds are widely used in …
people's daily lives worldwide. In medical practice, respiratory sounds are widely used in …
A state-of-art Covid-19 major symptoms detection using IoT enabled wearable medical sensors
F Bel, S Selvaraj - AIP Conference Proceedings, 2023 - pubs.aip.org
Covid-19 a great threat and it'sa vital note among humans from 2019 December onwards.
Even in 2022 its intensity is not becoming less. As vaccines were discovered and injected to …
Even in 2022 its intensity is not becoming less. As vaccines were discovered and injected to …
Developing a multi-variate prediction model for the detection of COVID-19 from Crowd-sourced Respiratory Voice Data
W Aljbawi, SO Simmons, V Urovi - arXiv preprint arXiv:2209.03727, 2022 - arxiv.org
COVID-19 has affected more than 223 countries worldwide. There is a pressing need for
non invasive, low costs and highly scalable solutions to detect COVID-19, especially in low …
non invasive, low costs and highly scalable solutions to detect COVID-19, especially in low …
Development of a vocal biomarker for fatigue monitoring in people with COVID-19
A Elbéji, L Zhang, E Higa, A Fischer, V Despotovic… - MedRxiv, 2022 - medrxiv.org
Objective To develop a vocal biomarker for fatigue monitoring in people with COVID-19.
Design Prospective cohort study. Setting Predi-COVID data between May 2020 and May …
Design Prospective cohort study. Setting Predi-COVID data between May 2020 and May …
On the pragmatism of using binary classifiers over data intensive neural network classifiers for detection of COVID-19 from voice
Lately, there has been a global effort by multiple research groups to detect COVID-19 from
voice. Different researchers use different kinds of information from the voice signal to …
voice. Different researchers use different kinds of information from the voice signal to …
Integrating Deep Learning for Heart and Vascular Acoustic Analysis in Cardiovascular Health Assessment
C Özçil - 2023 - open.metu.edu.tr
Atherosclerosis, a cardiovascular disease, disrupts blood flow due to occlusions. The
transformation from laminar into turbulent flow produces an acoustic phenomena known as …
transformation from laminar into turbulent flow produces an acoustic phenomena known as …
[PDF][PDF] QUCoughScope: An intelligent application to detect COVID-19 patients using cough and breath sounds. Diagnostics 2022; 12 (920)
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 …