• DocumentCode
    167702
  • Title

    The pulse waveform and parameters analysis of various athletes based on radial pulse

  • Author

    Anran Wang ; Xuwen Li ; Lin Yang ; Xingxing Yang ; Lanxi Meng ; Jun Su ; Song Zhang

  • Author_Institution
    Coll. of Life Sci. & Bio-Eng., Beijing Univ. of Technol., Beijing, China
  • fYear
    2014
  • fDate
    8-9 May 2014
  • Firstpage
    778
  • Lastpage
    781
  • Abstract
    Classify the sports events by the maximal oxygen uptake (MaxO2) and the maximal muscular voluntary contraction (MVC). Collect the radial pulse wave of different sports events and discuss the pulse waveform and characteristic parameters. Radial pulse waveform on 304 subjects was collected, by using PowerLab and its bundled software LabChart 7, developed by ADInstrument. Normalize each radial pulse waveform and let the waveform cycle and amplitude distribute in the range of 0-100. Analyze the relative time of the maximum point Tm, the abscissa X and ordinate Y of dicrotic notch, the pulse waveform area K and the pulse wave age index SDPTG. The pulse waveform changing trend of MVC (<;50%) group and MVC (>50%) group are different while the sports have the same MaxO2. And the pulse waveform changing trend of MaxO2 (<;40%) group, MaxO2 (40%-70%) group and MaxO2 (>70%) group are as well as different while the sports have the same MVC.
  • Keywords
    pattern classification; sport; LabChart 7 bundled software; MVC; MaxO2; PowerLab; SDPTG; dicrotic notch; maximal muscular voluntary contraction; maximal oxygen uptake; parameter analysis; pulse wave age index; pulse waveform; radial pulse wave collection; sport event classification; waveform cycle; Computers; Legged locomotion; Athlete; Pulse wave; Radial artery; Waveform parameter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Computer and Applications, 2014 IEEE Workshop on
  • Conference_Location
    Ottawa, ON
  • Type

    conf

  • DOI
    10.1109/IWECA.2014.6845738
  • Filename
    6845738