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Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections

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Validation Approaches for Cough Monitoring Tools: A Scoping Review.

Laylaa Ramos Arriaza¹, Laurie Slovarp², Brandon D Abell³

¹Department of Otolaryngology-Head & Neck Surgery, University of Colorado Anschutz , 12631 E. 17th Avenue, Aurora, CO, 80045, USA.

|June 27, 2026

Summary

This summary is machine-generated.

Validation methods for ambulatory cough monitoring systems are inconsistent, hindering clinical use. Standardization of protocols and real-world testing are crucial for advancing cough detection technology.

Keywords:

Chronic cough Cough monitor Neural network Scoping review Validation

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Methods for Detecting Cough and Airway Inflammation in Mice

Methods for Detecting Cough and Airway Inflammation in Mice

Published on: August 2, 2024

Area of Science:

Medical Informatics
Respiratory Medicine
Biomedical Engineering

Background:

Ambulatory cough monitoring systems are increasingly used in clinical and research settings.
Variability in validation approaches may limit the reliability and applicability of these systems.

Purpose of the Study:

To characterize the diverse validation methodologies employed in ambulatory cough monitoring.
To identify methodological inconsistencies that impede the clinical and research utility of these technologies.

Main Methods:

A comprehensive scoping review following PRISMA-ScR guidelines was conducted.
Searches were performed in Embase, including English-language, peer-reviewed human studies.
Data extraction and descriptive synthesis were performed on 50 included studies.

Main Results:

Validation approaches were highly heterogeneous, with manual human annotation (66%) being the most common reference standard.
Definitions of cough events and outcome metrics varied widely across studies.
While systems showed high accuracy in controlled settings, real-world performance was variable, especially with background noise.

Conclusions:

A standardized framework for reference measures and outcome metrics in cough monitoring validation is lacking.
Manual annotation methods and cough event definitions require standardization.
Development of shared datasets and real-world testing are essential for clinical translation.