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A new method for automatic wheeze detection

M Waris1, P Helistö, S Haltsonen

  • 1Laboratory of Biomedical Engineering, Helsinki University of Technology, Finland.

Technology and Health Care : Official Journal of the European Society for Engineering and Medicine
|October 1, 1998
PubMed
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A novel automatic wheeze detection system uses sonagram analysis and image processing. This method accurately identifies wheezes in asthma patients, offering potential for improved respiratory monitoring.

Area of Science:

  • Pulmonary Medicine
  • Biomedical Engineering
  • Signal Processing

Background:

  • Wheezing is a common respiratory symptom, particularly in asthma.
  • Accurate and objective wheeze detection is crucial for diagnosis and management.
  • Current detection methods may lack objectivity or require specialized expertise.

Purpose of the Study:

  • To develop and validate a new automatic wheeze detection method.
  • To compare sonagram calculation techniques for optimal performance.
  • To assess the method's accuracy and identify associated wheeze characteristics.

Main Methods:

  • Developed an automatic wheeze detection system utilizing image processing on sonagrams.
  • Compared autoregressive and Fast Fourier Transform (FFT) spectrum estimation for sonagram calculation.

Related Experiment Videos

  • Validated the method with four wheezing asthmatic patients under physician supervision.

    • Main Results:

    • The system detected 90% of wheezes longer than 250 milliseconds.
    • Very short wheezes (<250 ms) were not detected.
    • A low false positive rate of approximately 1% was observed in control subjects.

    Conclusions:

    • The developed automatic wheeze detection method shows high sensitivity for longer wheezes.
    • The system provides valuable information on wheeze frequency, duration, flow, and volume.
    • This technique offers a promising objective tool for respiratory sound analysis in asthma.