Acoustic surveillance of cough for detecting respiratory disease using artificial intelligence.
Juan Carlos Gabaldón-FigueiraEric KeenGerard GiménezVirginia OrrilloIsabel BlaviaDominique Hélène DoréNuria ArmendárizCarlos J ChaccourAlejandro Fernandez-MonteroJavier BartoloméNita UmashankarPeter SmallSimon Grandjean LapierrePublished in: ERJ open research (2022)
Artificial intelligence systems can detect changes in cough frequency that temporarily correlate with the onset of clinical disease at the individual level. A clearer correlation with population-level COVID-19 incidence, or other respiratory conditions, could be achieved with better penetration and compliance with cough monitoring.