• DocumentCode
    1214178
  • Title

    Automated Spectral Characterization of Wheezing in Asthmatic Children

  • Author

    Fenton, T.Richard ; Pasterkamp, Hans ; Tal, A. ; Chernick, Victor

  • Author_Institution
    Department of Biomedical Engineering, Health Sciences Centre and the Departments of Energy and Electrical Engineering, University of Manitoba
  • Issue
    1
  • fYear
    1985
  • Firstpage
    50
  • Lastpage
    55
  • Abstract
    Breath sounds were recorded in normal and asthmatic children over the chest and trachea. The power spectra of the sounds were analyzed for peaks of high amplitude and high frequency as indications of wheezing. The percent of inspiration and expiration spent wheezing was used as an indication of the severity of bronchial obstruction. Wheezing was found to be strongly dependent upon air flow, and generally followed the changes in pulmonary function as indicated by the forced expiratory volume at 1 s (FEV1). The trachea was found to be a better location for analyzing wheezes than the lung.
  • Keywords
    Bandwidth; Biomedical engineering; Biomedical measurements; Frequency; Hospitals; Lungs; Medical diagnostic imaging; Pathology; Pediatrics; Spectral analysis; Adolescent; Asthma; Biomedical Engineering; Child; Humans; Respiratory Sounds; Sound Spectrography;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.1985.325616
  • Filename
    4121924