[HTML][HTML] A machine learning approach as an aid for early COVID-19 detection
The novel coronavirus SARS-CoV-2 that causes the disease COVID-19 has forced us to go
into our homes and limit our physical interactions with others. Economies around the world …
into our homes and limit our physical interactions with others. Economies around the world …
AI-Based human audio processing for COVID-19: A comprehensive overview
Abstract The Coronavirus (COVID-19) pandemic impelled several research efforts, from
collecting COVID-19 patients' data to screening them for virus detection. Some COVID-19 …
collecting COVID-19 patients' data to screening them for virus detection. Some COVID-19 …
[HTML][HTML] A novel deep learning model to detect COVID-19 based on wavelet features extracted from Mel-scale spectrogram of patients' cough and breathing sounds
M Aly, NS Alotaibi - Informatics in Medicine Unlocked, 2022 - Elsevier
The goal of this paper is to classify the various cough and breath sounds of COVID-19
artefacts in the signals from dynamic real-life environments. The main reason for choosing …
artefacts in the signals from dynamic real-life environments. The main reason for choosing …
Intelligent network for proactive detection of COVID-19 disease
S Chakkor, M Baghouri, Z Cheker… - 2020 6th IEEE …, 2021 - ieeexplore.ieee.org
This is a proposal for an automated detection and remote monitoring system made up of a
centralized network of communicating portable electronic devices based on biomedical …
centralized network of communicating portable electronic devices based on biomedical …
Active surveillance for COVID-19 through artificial intelligence using real-time speech-recognition mobile application
MZ Iqbal, MFI Faiz - 2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
We propose a novel model of active surveillance for COVID-19 through artificial intelligence.
Both past and recent events of viral disease outbreaks have shown us that we do not have …
Both past and recent events of viral disease outbreaks have shown us that we do not have …
Deep learning vs feature engineering in the assessment of voice signals for diagnosis in Parkinson's disease
E Majda-Zdancewicz, A Potulska-Chromik… - Bulletin of the Polish …, 2021 - journals.pan.pl
Voice acoustic analysis can be a valuable and objective tool supporting the diagnosis of
many neurodegenerative diseases, especially in times of distant medical examination …
many neurodegenerative diseases, especially in times of distant medical examination …
[HTML][HTML] Screening COVID-19 by Swaasa AI platform using cough sounds: a cross-sectional study
Abstract The Advent of Artificial Intelligence (AI) has led to the use of auditory data for
detecting various diseases, including COVID-19. SARS-CoV-2 infection has claimed more …
detecting various diseases, including COVID-19. SARS-CoV-2 infection has claimed more …
IATos: AI-powered pre-screening tool for COVID-19 from cough audio samples
DT Pizzo, S Esteban - arXiv preprint arXiv:2104.13247, 2021 - arxiv.org
OBJECTIVE: Our objective is to evaluate the possibility of using cough audio recordings
(spontaneous or simulated) to detect sound patterns in people who are diagnosed with …
(spontaneous or simulated) to detect sound patterns in people who are diagnosed with …
Studying the Similarity of COVID-19 Sounds based on Correlation Analysis of MFCC
MB Alsabek, I Shahin, A Hassan - … international conference on …, 2020 - ieeexplore.ieee.org
Recently there has been a formidable work which has been put up from the people who are
working in the frontlines such as hospitals, clinics, and labs alongside researchers and …
working in the frontlines such as hospitals, clinics, and labs alongside researchers and …
Improving Parkinson's disease recognition through voice analysis using deep learning
R Khaskhoussy, YB Ayed - Pattern Recognition Letters, 2023 - Elsevier
Parkinson's disease (PD) corresponds to one of the most common neurological diseases in
the world, which is mainly manifested by motor, cognitive, and language disorders. The …
the world, which is mainly manifested by motor, cognitive, and language disorders. The …