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@article{Chung:2025:10.1183/2312508X.10028624,
author = {Chung, KF and Song, WJ},
doi = {10.1183/2312508X.10028624},
journal = {Ers Monograph},
pages = {296--305},
title = {Use of digital monitoring technologies to measure chronic cough: “cough-omics”},
url = {http://dx.doi.org/10.1183/2312508X.10028624},
volume = {2025-December},
year = {2025}
}
TY - JOUR
AB - Objective measurement of cough frequency has been developed over the past 25 years. Current cough monitors are semi-automatic, limited to 24 h recordings using microphone detection and portable sound recorders, and have provided valuable information on cough frequency in patients with CC, which is modestly correlated with patient-reported outcomes. Their main use at the current time is in clinical trials for assessment of novel antitussives. Automatic analysis of cough events using machine learning has allowed for the use of digital tools and devices that in turn has led to the continuous unobtrusive recordings over long periods of time. The process of “cough-omics”, which is the analysis of large amount of data thus derived, has shown wide variability of daily cough counts in CC at an individual level and the lack of predictability of the cough counts in some for monitoring the effects of antitussives. There will be a greater understanding of the pathophysiology of cough with the analysis of cough-omics on how to use these new monitors efficiently both for clinical trials and in the clinic.
AU - Chung,KF
AU - Song,WJ
DO - 10.1183/2312508X.10028624
EP - 305
PY - 2025///
SN - 2312-508X
SP - 296
TI - Use of digital monitoring technologies to measure chronic cough: “cough-omics”
T2 - Ers Monograph
UR - http://dx.doi.org/10.1183/2312508X.10028624
VL - 2025-December
ER -