Lung sounds: An advanced signal processing perspective

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

13 Scopus citations

Abstract

Lung sounds auscultation is often the first noninvasive resource for detection and discrimination of respiratory pathologies available to the physician through the use of the stethoscope. Hearing interpretation, though, was the only means of appreciation of the lung sounds diagnostic information for many decades. Nevertheless, in recent years, computerized auscultation combined with signal processing techniques has boosted the diagnostic capabilities of lung sounds. The latter were traditionally analyzed and characterized by morphological changes in the time domain using statistical measures, by spectral properties in the frequency domain using simple spectral analysis, or by nonstationary properties in a joint time-frequency domain using short-time Fourier transform. Advanced signal processing techniques, however, have emerged in the last decade, broadening the perspective in lung sounds analysis. The scope of this book is to present up-to-date signal processing techniques that have been applied to the area of lung sound analysis. It starts with a description of the nature of lung sounds and continues with the introduction of new domains in their representation, new denoising techniques, and concludes with some reflective implications, both from engineers' and physicians' perspective. Issues of nonstationarity, nonlinearity, non-Gaussianity, modeling, and classification of lung sounds are addressed with new methodologies, revealing a more realistic approach to their pragmatic nature. Advanced denoising techniques that effectively circumvent the noise presence (e.g., heart sound interference, background noise) in lung sound recordings are described, providing the physician with high-quality auscultative data. The book offers useful information both to engineers and physicians interested in bioacoustics, clearly demonstrating the current trends in lung sound analysis.

Original languageBritish English
Title of host publicationSynthesis Lectures on Biomedical Engineering
DOIs
StatePublished - 1 Jan 2008

Publication series

NameSynthesis Lectures on Biomedical Engineering
Volume9
ISSN (Print)1930-0328
ISSN (Electronic)1930-0336

Keywords

  • Advanced signal processing
  • Classification
  • Denoising
  • Heart sound cancellation
  • Lung sounds
  • Modeling
  • Non-Gaussianity
  • Nonlinearity
  • Nonstationarity

Fingerprint

Dive into the research topics of 'Lung sounds: An advanced signal processing perspective'. Together they form a unique fingerprint.

Cite this