Smartphone-based cough monitoring as a near real-time digital pneumonia biomarker.
Maximilian BoeschFrank RassouliFlorent BatyAnja SchwärzlerSandra WidmerPeter TinschertIris ShihDavid CleresFilipe BarataElgar FleischMartin Hugo BrutschePublished in: ERJ open research (2023)
Automated, quantitative, smartphone-based detection of cough is feasible in hospitalised patients and correlates with disease activity in lower respiratory tract infections. Our approach allows for near real-time telemonitoring of individuals in aerosol isolation. Larger trials are warranted to decipher the use of cough as a digital biomarker for prognosis and tailored treatment in lower respiratory tract infections.
Keyphrases
- respiratory tract
- disease activity
- rheumatoid arthritis
- end stage renal disease
- systemic lupus erythematosus
- rheumatoid arthritis patients
- ankylosing spondylitis
- chronic kidney disease
- newly diagnosed
- ejection fraction
- peritoneal dialysis
- deep learning
- intensive care unit
- machine learning
- prognostic factors
- patient reported outcomes
- smoking cessation
- extracorporeal membrane oxygenation
- real time pcr
- acute respiratory distress syndrome