• DocumentCode
    2848391
  • Title

    Modeling of respiratory crackles

  • Author

    Kahya, Yasemin P. ; Yilmaz, C. Asli

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Bogazici Univ., Istanbul, Turkey
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    632
  • Abstract
    Crackles, extracted from lung sounds recorded from pathological subjects, are parameterized using Prony modeling of order two. The scatter plots of Prony parameters show that there is a correlation between the type of pathology and the lung volume of crackle occurrence and the Prony frequencies. These distinctive distributions of crackle populations of each disease indicate that Prony modeling generates crackle parameters which are promising features to be used in the classification of lung sounds along with the more conventional feature set of AR or ARMA model parameters
  • Keywords
    acoustic signal processing; bioacoustics; diseases; feature extraction; medical signal processing; physiological models; pneumodynamics; ARMA model parameters; Prony frequencies; crackle parameters; disease crackle populations; distinctive distributions; lung sounds classification; pathological subjects; respiratory crackles modeling; scatter plots; Acoustic noise; Acoustic scattering; Diseases; Explosives; Feature extraction; Frequency; Lungs; Monitoring; Pathology; Scattering parameters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-6465-1
  • Type

    conf

  • DOI
    10.1109/IEMBS.2000.900823
  • Filename
    900823