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Related Concept Videos

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Pulse rhythm

Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
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Related Experiment Video

Updated: Jun 26, 2026

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
06:22

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

Published on: September 19, 2025

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

Albertus C den Brinker1, Michael G Crooks2, Alyn H Morice2

  • 1Independent Researcher, NL-5708 DJ Helmond, The Netherlands.

Medical Sciences (Basel, Switzerland)
|June 25, 2026
PubMed
Summary
This summary is machine-generated.

Automated cough counting can help monitor respiratory conditions like chronic obstructive pulmonary disease (COPD). This study details design choices for a patient-friendly cough monitor and a reliability metric for its data.

Keywords:
COPDalertcougheHealthexacerbationmonitoringreliability metric

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Published on: August 2, 2024

Area of Science:

  • Medical Devices
  • Respiratory Medicine
  • Digital Health

Background:

  • Automated cough counting is crucial for identifying respiratory pathology.
  • A recent trial successfully validated an early warning system for COPD exacerbations.
  • Converting cough counters into patient-friendly continual monitors requires careful design considerations.

Purpose of the Study:

  • Review critical design choices for developing a patient-friendly continual cough monitor.
  • Establish a practical reliability metric for automated cough monitoring.
  • Discuss the XACT cough-based alert mechanism and its development.

Main Methods:

  • Discuss design choices for the XACT cough-based alert mechanism.
  • Outline a reliability assessment approach using cough counts, day-to-day variation, and specificity.
  • Analyze post hoc data to differentiate reliable from unreliable cough estimates.

Main Results:

  • The proposed approach allows differentiation between high-quality and less reliable cough data.
  • This method supports cohort subdivision based on cough frequency during exacerbations.
  • The XACT system incorporates unobtrusive and privacy-preserving patient-oriented design features.

Conclusions:

  • The validated alert mechanism offers patient-centric design benefits.
  • Automated screening of cough data issues is possible without manual annotation.
  • A practical basis for confidence metrics in cough data inferences, such as exacerbation forecasts, is established.
  • Further validation of the proposed concepts is required.