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Asthma Detection Research Based on Voice Signal Processing and Machine Learning
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Computer-Aided Detection of Respiratory Sounds in Bronchial Asthma Patients Based on Machine Learning Method.

A Gelman1, E G Furman2, N M Kalinina3

  • 1Laboratory Engineer, Department of Physics; Ben-Gurion University of the Negev, P.O.B. 653, Beer-Sheva, 8410501, Israel.

Sovremennye Tekhnologii V Meditsine
|May 14, 2023
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Summary

This study introduces a machine learning method to detect pathological respiratory sounds in bronchial asthma patients. The developed technique accurately identifies asthma-related sounds, aiding in diagnosis.

Keywords:
bronchial asthmacomputer-aided diagnosticsmachine learningneural networkrespiratory sounds

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Area of Science:

  • Biomedical Engineering
  • Medical Informatics

Background:

  • Bronchial asthma diagnosis relies on clinical symptoms and lung function tests.
  • Objective detection of asthma-related respiratory sounds can improve diagnostic accuracy.

Purpose of the Study:

  • To develop a machine learning-based method for detecting pathological respiratory sounds indicative of bronchial asthma.
  • To create a computer-aided detection system for bronchial asthma.

Main Methods:

  • Utilized neural networks trained on respiratory sound recordings.
  • Dataset included 951 bronchial asthma patients (various stages, ages 0-47) and 167 healthy volunteers.
  • Respiratory sounds were recorded at four anatomical locations during calm breathing.

Main Results:

  • The developed method achieved an 89.4% accuracy in diagnosing bronchial asthma-related sounds.
  • Demonstrated high diagnostic performance with 89.3% sensitivity and 86.0% specificity.
  • Performance was consistent across different patient demographics and recording sites.

Conclusions:

  • Machine learning effectively detects pathological respiratory sounds associated with bronchial asthma.
  • The computer-aided detection method shows promise for objective asthma diagnosis.
  • This approach offers a non-invasive tool for identifying bronchial asthma.