Converting a Cough Counter into a Cough Monitor: A Way Forward?

Background/Objective: To identify respiratory pathology, automated cough counting is frequently proposed. A trial validating an early warning system for exacerbations in chronic obstructive pulmonary disease (COPD) patients was recently concluded successfully. This paper aims to review the critical design choices for converting a cough counter into a patient-friendly continual cough monitor. Furthermore, it provides a basis for a practical reliability metric for continual cough monitoring. Methods: Design choices made in the development of a cough-based alert mechanism called XACT are discussed. A practical approach for reliability assessment is outlined based on cough counts, day-to-day variation and specificity data. Results: In post hoc analysis, it is shown that the described approach enables differentiation between high-quality cough estimates and less reliable data. The approach is used to underpin an earlier cohort subdivision into patients with and without increased cough during exacerbation. Conclusions: The validated alert mechanism has various patient-oriented design choices (unobtrusiveness, privacy-preserving). The examples illustrate how to screen for potential issues in automated cough count data without resorting to laborious annotation. It creates a practical basis for confidence metrics of medical inferences made from cough data, e.g., exacerbation forecasts. The proposed concepts need further validation.

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Publication Details

Journal
Medical Sciences
Published
2026-06-17
DOI
https://doi.org/10.3390/medsci14020327
Primary Topic
Respiratory and Cough-Related Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Converting a Cough Counter into a Cough Monitor: A Way Forward?

Michael G. Crooks, Alyn H. Morice, Albertus C. den Brinker
Medical Sciences
Respiratory and Cough-Related Research
article

Converting a Cough Counter into a Cough Monitor: A Way Forward?

Michael G. Crooks, Alyn H. Morice, Albertus C. den Brinker
article en

Abstract

Background/Objective: To identify respiratory pathology, automated cough counting is frequently proposed. A trial validating an early warning system for exacerbations in chronic obstructive pulmonary disease (COPD) patients was recently concluded successfully. This paper aims to review the critical design choices for converting a cough counter into a patient-friendly continual cough monitor. Furthermore, it provides a basis for a practical reliability metric for continual cough monitoring. Methods: Design choices made in the development of a cough-based alert mechanism called XACT are discussed. A practical approach for reliability assessment is outlined based on cough counts, day-to-day variation and specificity data. Results: In post hoc analysis, it is shown that the described approach enables differentiation between high-quality cough estimates and less reliable data. The approach is used to underpin an earlier cohort subdivision into patients with and without increased cough during exacerbation. Conclusions: The validated alert mechanism has various patient-oriented design choices (unobtrusiveness, privacy-preserving). The examples illustrate how to screen for potential issues in automated cough count data without resorting to laborious annotation. It creates a practical basis for confidence metrics of medical inferences made from cough data, e.g., exacerbation forecasts. The proposed concepts need further validation.

Medical SciencesVol. 14(2)
University of Hull (GB), Hull York Medical School (GB)
Openalex Percentile: Top 8%
Respiratory and Cough-Related Research
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