• DocumentCode
    495228
  • Title

    A New Method for Locating Feature Points in Pulse Wave Using Wavelet Transform

  • Author

    Zhang, Xun ; Xu, Liyan ; Chen, Kaijie ; Zhou, Zhengmin

  • Author_Institution
    Inst. of Electron. Inf., Hangzhou Dianzi Univ., Hangzhou, China
  • Volume
    5
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    367
  • Lastpage
    371
  • Abstract
    This paper aims to propose a new method for positioning pulse signal characteristic point automatically by using embedded software with wavelet transform. Wavelet transform that can provide multi-resolution analysis is a powerful method in pulse signal analysis. By calculating the relative displacement between local maximum which is in high-level detail coefficients of wavelet transform, point e is located more effectively than traditional method. New analysis method for biomedical signal analysis such as pulse signal is put forward.
  • Keywords
    medical signal processing; wavelet transforms; biomedical signal analysis; embedded software; feature point locating; multiresolution analysis; pulse signal analysis; pulse signal characteristic point positioning; pulse wave; wavelet transform; Arteries; Biomedical monitoring; Cardiovascular system; Heart; Signal analysis; Signal processing algorithms; Turning; Valves; Wavelet analysis; Wavelet transforms; Feature point automark; Heart monitor; Pulse condition; Wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.882
  • Filename
    5170560