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A Mobile Cough Strength Evaluation Device Using Cough Sounds.

Yasutaka Umayahara1,2, Zu Soh3, Kiyokazu Sekikawa4

  • 1Department of System Cybernetics, Institute of Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8527, Japan. umayahara-creha@umin.ac.jp.

Sensors (Basel, Switzerland)
|November 9, 2018
PubMed
Summary
This summary is machine-generated.

A new mobile device estimates cough strength using sound, improving accuracy for elderly individuals. This innovation offers a practical tool for daily cough peak flow measurements in clinical settings.

Keywords:
cough peak flowcough soundcough strengthiOSmobile device

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Area of Science:

  • Respiratory Medicine
  • Biomedical Engineering
  • Acoustic Analysis

Background:

  • Cough peak flow (CPF) is crucial for assessing cough dysfunction.
  • Conventional spirometers present a configurational burden for some patients.
  • Previous acoustic models for cough strength estimation lacked age consideration and a user interface.

Purpose of the Study:

  • To improve cough strength prediction accuracy using an enhanced acoustic and aerodynamic model.
  • To evaluate the model's performance across young and elderly populations.
  • To develop a mobile-based user interface for practical CPF estimation.

Main Methods:

  • Developed an improved acoustic and aerodynamic model for cough strength estimation.
  • Integrated the model into a mobile device user interface for recording cough sounds.
  • Experimentally validated the model with 33 young and 25 elderly participants.

Main Results:

  • The developed model achieved an approximate 6.19% percentage error between measured and estimated CPFs.
  • The current model significantly improved estimation accuracy in elderly participants by ~6.5% (p < 0.001).
  • Bland-Altman analysis confirmed no systematic error between measured and estimated CPFs.

Conclusions:

  • The developed mobile device provides accurate daily cough peak flow measurements.
  • The improved model enhances cough strength estimation, particularly for the elderly.
  • This technology offers a practical and accessible solution for clinical cough assessment.