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Related Experiment Video

Updated: Aug 12, 2025

Methods for Detecting Cough and Airway Inflammation in Mice
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Published on: August 2, 2024

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Validation of a small cough detector.

Manuel Kuhn1,2, Elif Nalbant3, Dario Kohlbrenner2

  • 1Faculty of Medicine, University of Zurich, Zurich, Switzerland.

ERJ Open Research
|January 26, 2023
PubMed
Summary

A new wearable device, SIVA-P3, accurately counts coughs using deep neural networks. This technology offers objective, continuous cough monitoring for patients with chronic cough in outpatient settings.

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Area of Science:

  • Medical Devices
  • Artificial Intelligence in Healthcare
  • Respiratory Medicine

Background:

  • Cough frequency assessment in clinical practice relies heavily on subjective patient history.
  • Objective cough evaluation is currently limited by bulky equipment and short monitoring durations.
  • Continuous, objective cough monitoring outside clinical studies is rarely performed.

Purpose of the Study:

  • To evaluate the performance of a novel, small wearable cough detector (SIVA-P3) in an outpatient setting.
  • To assess the accuracy of SIVA-P3 in automatically counting coughs using deep neural networks.
  • To determine the feasibility and user acceptance of SIVA-P3 for prolonged cough monitoring.

Main Methods:

  • The SIVA-P3 device was used to record cough epochs over eight consecutive days in patients with chronic cough.
  • Detector performance was validated against human listener counts during the initial 24 hours.
  • Patient comfort and device usability were assessed via a questionnaire.

Main Results:

  • The study included 27 participants with various chronic respiratory conditions.
  • SIVA-P3 demonstrated high sensitivity (daytime: 88.5%, night-time: 84.15%) and excellent specificity (daytime: 99.97%, night-time: 99.97%).
  • Most participants reported very high wearing comfort and device usability.

Conclusions:

  • SIVA-P3 facilitates automatic, continuous cough monitoring for objective assessment over extended periods.
  • The device exhibits high performance, comparable or superior to existing automatic cough counters.
  • Its comfort and accuracy suggest strong potential for integration into routine clinical practice.