[HTML][HTML] Towards using cough for respiratory disease diagnosis by leveraging Artificial Intelligence: A survey
Cough acoustics contain multitudes of vital information about pathomorphological
alterations in the respiratory system. Reliable and accurate detection of cough events by …
alterations in the respiratory system. Reliable and accurate detection of cough events by …
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 …
Even though symptoms present differently, cough is still taken as one of the primary …
Making cough count in tuberculosis care
AJ Zimmer, C Ugarte-Gil, R Pathri, P Dewan… - Communications …, 2022 - nature.com
Cough assessment is central to the clinical management of respiratory diseases, including
tuberculosis (TB), but strategies to objectively and unobtrusively measure cough are lacking …
tuberculosis (TB), but strategies to objectively and unobtrusively measure cough are lacking …
Face mask recognition from audio: The MASC database and an overview on the mask challenge
The sudden outbreak of COVID-19 has resulted in tough challenges for the field of
biometrics due to its spread via physical contact, and the regulations of wearing face masks …
biometrics due to its spread via physical contact, and the regulations of wearing face masks …
Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers
Recent work has reported that respiratory audio-trained AI classifiers can accurately predict
SARS-CoV-2 infection status. However, it has not yet been determined whether such model …
SARS-CoV-2 infection status. However, it has not yet been determined whether such model …
[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 …
Evaluating the covid-19 identification resnet (cider) on the interspeech covid-19 from audio challenges
Several machine learning-based COVID-19 classifiers exploiting vocal biomarkers of COVID-
19 has been proposed recently as digital mass testing methods. Although these classifiers …
19 has been proposed recently as digital mass testing methods. Although these classifiers …
Deep learning in public health: Comparative predictive models for COVID-19 case forecasting
The COVID-19 pandemic has had a significant impact on both the United Arab Emirates
(UAE) and Malaysia, emphasizing the importance of developing accurate and reliable …
(UAE) and Malaysia, emphasizing the importance of developing accurate and reliable …
The use of audio signals for detecting covid-19: A systematic review
A systematic review on the topic of automatic detection of COVID-19 using audio signals
was performed. A total of 48 papers were obtained after screening 659 records identified in …
was performed. A total of 48 papers were obtained after screening 659 records identified in …
Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds
Chest disease refers to a wide range of conditions affecting the lungs, such as COVID-19,
lung cancer (LC), consolidation lung (COL), and many more. When diagnosing chest …
lung cancer (LC), consolidation lung (COL), and many more. When diagnosing chest …