• DocumentCode
    2583770
  • Title

    A heart sound feature extraction algorithm based on wavelet decomposition and reconstruction

  • Author

    Liang, Huiying ; Hartimo, Iiro

  • Author_Institution
    Signal Process. & Comput. Technol. Lab., Helsinki Univ. of Technol., Espoo, Finland
  • Volume
    3
  • fYear
    1998
  • fDate
    29 Oct-1 Nov 1998
  • Firstpage
    1539
  • Abstract
    An algorithm based on the wavelet decomposition and reconstruction method was developed to extract features from the heart sound recordings. An artificial neural networks classification method based on these features was used to classify the heart sound signals into physiological and pathological murmurs. The classification result indicated 74.4% accuracy
  • Keywords
    acoustic signal processing; bioacoustics; cardiology; feature extraction; medical signal processing; neural nets; signal reconstruction; wavelet transforms; artificial neural networks classification method; classification result; heart sound feature extraction algorithm; heart sound recordings; pathological murmurs; physiological murmurs; reconstruction method; wavelet decomposition; Acoustic signal processing; Cardiac disease; Feature extraction; Frequency; Heart valves; Pathology; Pediatrics; Signal processing algorithms; Testing; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
  • Conference_Location
    Hong Kong
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-5164-9
  • Type

    conf

  • DOI
    10.1109/IEMBS.1998.747181
  • Filename
    747181