• DocumentCode
    1702928
  • Title

    Feature extraction and recognition of heart sound

  • Author

    Zhou, Jing ; He, Wei ; Dan, Chunmei ; Que, Xiaosheng

  • Author_Institution
    State Key Lab. of Power Transm. Equip. & Syst. Security & New Technol., Chongqing Univ.
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A novel heart sound (HS) recognition system based Full Bayesian Neural Network Model (FBNNM) is presented. Features are extracted from Power Spectrum Distribution (PSD), the normalized average Shannon energy (NASN) in wavelet domain; and the Correlation-Dimension (CD) is also employed from the view of dynamic system. These features were used as inputs to the FBNNM for HS recognition. A total of 64 samples are used to train FBNNM for 8 different types of HS. The results show the suggested methodology offers a promising recognition of HS.
  • Keywords
    acoustic signal processing; feature extraction; medical signal processing; neural nets; feature extraction; heart sound recognition system; normalized average Shannon energy; power spectrum distribution; Artificial neural networks; Bayesian methods; Feature extraction; Heart; Helium; Laboratories; Neural networks; Parameter estimation; Pathology; Power system modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Congress, 2008. WAC 2008. World
  • Conference_Location
    Hawaii, HI
  • Print_ISBN
    978-1-889335-38-4
  • Electronic_ISBN
    978-1-889335-37-7
  • Type

    conf

  • Filename
    4699301
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1702928