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Nighttime Cough Characteristics in Chronic Obstructive Pulmonary Disease Patients

den Brinker, Albertus C.; Ouweltjes, Okke; Rietman, Ronald; Thackray-Nocera, Susannah; Crooks, Michael G.; Morice, Alyn H.

Authors

Albertus C. den Brinker

Okke Ouweltjes

Ronald Rietman

Susannah Thackray-Nocera



Abstract

Coughing is a symptom of many respiratory diseases. An increased amount of coughs may signal an (upcoming) health issue, while a decreasing amount of coughs may indicate an improved health status. The presence of a cough can be identified by a cough classifier. The cough density fluctuates considerably over the course of a day with a pattern that is highly subject-dependent. This paper provides a case study of cough patterns from Chronic Obstructive Pulmonary Disease (COPD) patients as determined by a stationary semi-automated cough monitor. It clearly demonstrates the variability of cough density over the observation time, its patient specificity and dependence on health status. Furthermore, an earlier established empirical finding of a linear relation between mean and standard deviation of a session’s cough count is validated. An alert mechanism incorporating these findings is described.

Citation

den Brinker, A. C., Ouweltjes, O., Rietman, R., Thackray-Nocera, S., Crooks, M. G., & Morice, A. H. (2025). Nighttime Cough Characteristics in Chronic Obstructive Pulmonary Disease Patients. Sensors, 25(2), Article 404. https://doi.org/10.3390/s25020404

Journal Article Type Article
Acceptance Date Jan 8, 2025
Online Publication Date Jan 11, 2025
Publication Date Jan 2, 2025
Deposit Date Feb 8, 2025
Publicly Available Date Feb 10, 2025
Journal Sensors
Print ISSN 1424-8220
Electronic ISSN 1424-8220
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 25
Issue 2
Article Number 404
DOI https://doi.org/10.3390/s25020404
Keywords COPD; Cough; Acute exacerbation; Alert
Public URL https://hull-repository.worktribe.com/output/5038975

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0

Copyright Statement
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).




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