• DocumentCode
    2153681
  • Title

    Extraction of vibration feature using purpose designed wavelets for heart diagnosis

  • Author

    Tovar, B. ; Wang, W.J. ; Torry, J.N.

  • Author_Institution
    Sch. of Eng. & Design, Univ. of Sussex, Brighton, UK
  • fYear
    2010
  • fDate
    11-14 July 2010
  • Firstpage
    390
  • Lastpage
    404
  • Abstract
    The heart sounds with systolic murmurs can be characterized and visualized as a result of free and forced vibrations in human hearts. A joint time frequency distribution with oscillating windows is proposed to extract the signals from heart sounds. Two types of mother wavelets are designed as matching templates based on the nature of murmurs. The time-frequency maps of the analyzed phonocardiographic (PCG) signal are compared to show which type of templates matches better with the systolic murmurs. Practical applications are addressed for two types of cardiac abnormalities, aortic stenosis and mitral regurgitation. It has been demonstrated that by means of using different oscillating window functions, different characteristics of the heart sounds associated to the heart disease can be enhanced in the time-frequency domain analysis.
  • Keywords
    biomedical engineering; cardiology; time-frequency analysis; vibrations; wavelet transforms; aortic stenosis; cardiac abnormalities; heart diagnosis; human hearts; joint time frequency distribution; mitral regurgitation; oscillating windows; phonocardiographic signal; purpose designed wavelets; systolic murmurs; vibration feature; Fourier transforms; Heart; Time frequency analysis; Valves; Vibrations; Wavelet analysis; Wavelet transforms; Heart sounds; Murmurs; Time-frequency analysis; Vibration; Wavelets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Analysis and Pattern Recognition (ICWAPR), 2010 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-6530-9
  • Type

    conf

  • DOI
    10.1109/ICWAPR.2010.5576406
  • Filename
    5576406