Automatic Recognition, Segmentation, and Sex Assignment of Nocturnal Asthmatic Coughs and Cough Epochs in Smartphone Audio Recordings: Observational Field Study.

Filipe Barata Peter Tinschert Frank Rassouli Claudia Steurer-Stey Elgar Fleisch Milo Alan Puhan Martin Hugo Brutsche David Kotz Tobias Kowatsch

Published in: Journal of medical Internet research (2020)

Our study showed longitudinal nocturnal cough and cough-epoch recognition from nightly recorded smartphone-based audio from adults with asthma. The model distinguishes partner cough from patient cough in contact-free recordings by identifying cough and cough-epoch signals that correspond to the sex of the patient. This research represents a step towards enabling passive and scalable cough monitoring for adults with asthma.

Keyphrases

chronic obstructive pulmonary disease
blood pressure
deep learning
case report
cross sectional
machine learning
hepatitis c virus
depressive symptoms
sleep apnea
cystic fibrosis
sleep quality