• DocumentCode
    1682361
  • Title

    A method for recognizing noises in pulse waves

  • Author

    Xu, Lisheng ; Feng, Cong ; Wang, Ying ; Yao, Yupeng ; Meng, Max Q -H

  • Author_Institution
    Sino-Dutch Biomed. & Inf. Eng. Sch., Northeastern Univ., Shenyang, China
  • fYear
    2010
  • Firstpage
    2264
  • Lastpage
    2268
  • Abstract
    A method is proposed for recognizing noises in pulse waves (PWs), which play an essential role in clinical pulse diagnosis. PWs have also been used in traditional Chinese medicine for thousands of years. We follow the principle that most noises appear as pairs of adjacent sampling points. These pairs satisfy five certain criteria. The principle and the criteria are based on observation and statistical analysis. Our proposed method has a noise recognition ratio of 82% and can help a lot for other physiological signals.
  • Keywords
    medical signal processing; noise; patient diagnosis; statistical analysis; adjacent sampling points; clinical pulse diagnosis; noise recognition method; physiological signals; pulse waves; statistical analysis; Compounds; Electrocardiography; Finite impulse response filter; Instruments; Medical diagnostic imaging; Signal to noise ratio; crest; noise; pulse wave; trough;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5554248
  • Filename
    5554248