• DocumentCode
    1859603
  • Title

    Spectrum analysis of lung sounds

  • Author

    Xu, Jinwing ; Chen, Qimin ; Zhang, Yilli ; Liu, Shuyan

  • Author_Institution
    Appl. Acoust. Inst., Shaanxi Teachers Univ., China
  • fYear
    1989
  • fDate
    9-12 Nov 1989
  • Firstpage
    1676
  • Abstract
    The power spectra of vesicular breathing, rale and wheeze from 40 people (including normal people and people with lung diseases) were analysed by BSFA (zoom fast Fourier transform). The distribution of spectrum peak frequencies was estimated. It is noted that the vesicular breathing of normal people and abnormal breathing (rale and wheeze) are significantly different in their distribution of spectrum peak frequencies. The power spectrum of rale and wheeze contain more high-frequency components, and that of rale has more low-frequency components. This difference could provide a basis for automatic classification and diagnosis
  • Keywords
    bioacoustics; lung; patient diagnosis; spectral analysis; abnormal breathing; automatic classification; automatic diagnosis; high-frequency components; low-frequency components; lung diseases; lung sounds spectrum analysis; normal people; peak frequencies distribution; power spectra; rale; vesicular breathing; wheeze; zoom fast Fourier transform; Aging; Diseases; Filters; Frequency; Lungs; Robustness; Signal analysis; Signal processing; Signal resolution; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
  • Conference_Location
    Seattle, WA
  • Type

    conf

  • DOI
    10.1109/IEMBS.1989.96401
  • Filename
    96401