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A microcomputer based lung sounds analysis

M Nissan1, N Gavriely

  • 1Faculty of Medicine, Rappaport Family Institute for Research in the Medical Sciences, Haifa, Israel.

Computer Methods and Programs in Biomedicine
|May 1, 1993
PubMed
Summary
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This study introduces a microcomputer system for automated lung sound analysis to enhance pulmonary screening sensitivity. The system analyzes acoustic and flow data, aiding in the identification of lung pathologies.

Area of Science:

  • Pulmonary Medicine
  • Biomedical Engineering
  • Signal Processing

Background:

  • Traditional auscultation has limitations in sensitivity for mass screening.
  • Automated analysis of lung sounds offers potential for improved diagnostic accuracy.

Purpose of the Study:

  • To evaluate a microcomputer-based system for automated lung sound analysis.
  • To assess the system's effectiveness in improving the sensitivity of pulmonary health mass screening.

Main Methods:

  • Simultaneous digitization of lung sounds (piezoelectric transducers) and breathing flow (pneumotachograph) at 4000 Hz.
  • Transformation of acoustic data to the frequency domain for power spectra calculation and averaging.
  • On-line assessment of spectral patterns and data storage based on noise level criteria.

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Main Results:

  • The system enabled detailed analysis of lung sound frequency domain characteristics.
  • Combined analysis of lung sounds, pulmonary function tests, and questionnaires aided in identifying lung pathology.
  • The automated approach showed potential for enhancing screening sensitivity.

Conclusions:

  • Microcomputer-based automated lung sound analysis is a viable tool for pulmonary health assessment.
  • This technology can augment traditional methods for more sensitive lung pathology detection.
  • Further research can refine automated auscultation for widespread clinical application.