• DocumentCode
    2135912
  • Title

    Identify and Classify Pulse Information Based on Extension

  • Author

    Zhu, Xiaoyuan ; Yu, Yongquan ; Li, Zhilong ; Wang, Hong

  • Author_Institution
    Guang Dong Univ. of Technol., Guang Zhou
  • Volume
    2
  • fYear
    2007
  • fDate
    23-27 June 2007
  • Firstpage
    651
  • Lastpage
    655
  • Abstract
    Human pulse always has tiny change. The veracity of pulse diagnosis affects individual life. The paper presents using the extension method and establishing the matter-element model for identifying pulse information. It constructs the extension classify-instrument with the extension classification tree. According to the experiment results, the method is compared with other current recognition methods. Research results indicate that it is of great help to identify and classify pulse information by constructing extension classify-instrument.
  • Keywords
    medical computing; patient diagnosis; pattern classification; tree data structures; extension classification tree; extension classify-instrument; extension method; human pulse diagnosis; individual life; matter-element model; Artificial intelligence; Blood; Classification tree analysis; Frequency; Information analysis; Medical diagnostic imaging; Multidimensional systems; Pattern recognition; Pulse modulation; Space vector pulse width modulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics, 2007 5th IEEE International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1935-4576
  • Print_ISBN
    978-1-4244-0851-1
  • Electronic_ISBN
    1935-4576
  • Type

    conf

  • DOI
    10.1109/INDIN.2007.4384850
  • Filename
    4384850