• DocumentCode
    2650105
  • Title

    BP Neural Network to Distinguish Pregnant Woman by Arterial Pressure Pulse Waveform Analysis

  • Author

    Wang, Lu ; Wen, Dianzhong

  • Author_Institution
    HLJ Province Key Labs. of senior-Educ. for Electron. Eng., Heilongjiang Univ., Harbin
  • fYear
    2008
  • fDate
    15-17 Aug. 2008
  • Firstpage
    1463
  • Lastpage
    1466
  • Abstract
    This paper reports on a BP (back propagation) neural network model to distinguish the pregnant woman by arterial pressure pulse waveform. The model can well reflect the relationship between the twenty-two characteristic parameters of a woman´s arterial pressure pulse waveform and the recognition system for the pregnant woman. The classification result shows a promising accuracy with equally well recognition rates, and can be used to assist physicians in evaluating pregnant woman. At the same time, it also provides a novel method for the examination of other illness.
  • Keywords
    backpropagation; blood pressure measurement; medical signal processing; neural nets; obstetrics; BP neural network; arterial pressure pulse waveform; arterial pressure pulse waveform analysis; backpropagation; pregnant woman; recognition rates; Blood pressure; Character recognition; Intelligent networks; Neural networks; Pregnancy; Pressure measurement; Pulse circuits; Pulse measurements; Signal analysis; Signal processing; BP neural network; ZMC-?; arterial pressure pulse waveform; pregnant woman;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Hiding and Multimedia Signal Processing, 2008. IIHMSP '08 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-0-7695-3278-3
  • Type

    conf

  • DOI
    10.1109/IIH-MSP.2008.253
  • Filename
    4604317