Cough sound detection and diagnosis using artificial intelligence techniques: challenges and opportunities
Coughing is a common symptom of several respiratory diseases. The sound and type of
cough are useful features to consider when diagnosing a disease. Respiratory infections …
cough are useful features to consider when diagnosing a disease. Respiratory infections …
[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 …
COVID-19 artificial intelligence diagnosis using only cough recordings
J Laguarta, F Hueto, B Subirana - IEEE Open Journal of …, 2020 - ieeexplore.ieee.org
Goal: We hypothesized that COVID-19 subjects, especially including asymptomatics, could
be accurately discriminated only from a forced-cough cell phone recording using Artificial …
be accurately discriminated only from a forced-cough cell phone recording using Artificial …
Coswara--a database of breathing, cough, and voice sounds for COVID-19 diagnosis
The COVID-19 pandemic presents global challenges transcending boundaries of country,
race, religion, and economy. The current gold standard method for COVID-19 detection is …
race, religion, and economy. The current gold standard method for COVID-19 detection is …
COVID-19 cough classification using machine learning and global smartphone recordings
We present a machine learning based COVID-19 cough classifier which can discriminate
COVID-19 positive coughs from both COVID-19 negative and healthy coughs recorded on a …
COVID-19 positive coughs from both COVID-19 negative and healthy coughs recorded on a …
[HTML][HTML] Detection of COVID-19 from voice, cough and breathing patterns: Dataset and preliminary results
V Despotovic, M Ismael, M Cornil, R Mc Call… - Computers in Biology …, 2021 - Elsevier
COVID-19 heavily affects breathing and voice and causes symptoms that make patients'
voices distinctive, creating recognizable audio signatures. Initial studies have already …
voices distinctive, creating recognizable audio signatures. Initial studies have already …
A novel multimodal fusion framework for early diagnosis and accurate classification of COVID-19 patients using X-ray images and speech signal processing …
Background and objective COVID-19 outbreak has become one of the most challenging
problems for human being. It is a communicable disease caused by a new coronavirus …
problems for human being. It is a communicable disease caused by a new coronavirus …
DiCOVA Challenge: Dataset, task, and baseline system for COVID-19 diagnosis using acoustics
The DiCOVA challenge aims at accelerating research in diagnosing COVID-19 using
acoustics (DiCOVA), a topic at the intersection of speech and audio processing, respiratory …
acoustics (DiCOVA), a topic at the intersection of speech and audio processing, respiratory …
An ensemble learning approach to digital corona virus preliminary screening from cough sounds
This work develops a robust classifier for a COVID-19 pre-screening model from
crowdsourced cough sound data. The crowdsourced cough recordings contain a variable …
crowdsourced cough sound data. The crowdsourced cough recordings contain a variable …
Automatic cough classification for tuberculosis screening in a real-world environment
Objective. The automatic discrimination between the coughing sounds produced by patients
with tuberculosis (TB) and those produced by patients with other lung ailments. Approach …
with tuberculosis (TB) and those produced by patients with other lung ailments. Approach …