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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 Lapierre
Published 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.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • coronavirus disease
  • sars cov
  • public health
  • risk factors
  • respiratory tract