• DocumentCode
    2426426
  • Title

    Digital technology for objective auscultation in traditional Chinese medical diagnosis

  • Author

    Wang, Haijun ; Yan, Jianjun ; Wang, Yiqin ; Li, Fufeng ; Guo, Rui

  • Author_Institution
    Center for Mechatron. Eng., East China Univ. of Sci. & Technol., Shanghai
  • fYear
    2008
  • fDate
    7-9 July 2008
  • Firstpage
    1100
  • Lastpage
    1104
  • Abstract
    Auscultation is one of the Four Diagnosis Methods in traditional Chinese medicine (TCM). It has been researched through various methods, including digital techniques. This paper is aimed to review studies using digital signal processing techniques in recent years. Two kinds of methods (traditional methods and nonlinear methods) were illuminated briefly, including principles, main parameters and algorithms. According to the two methods, the studies were narrated and evaluated respectively, including tools, parameters, algorithms, aimed diseases and diagnostic effects. Researches on automatic stethoscope also been discussed, which research object was not speech but the sound of viscus. A new microcosmic technology - sonocytology and its application foreground in TCM was introduced simply, too. Finally, the conclusion was made. This survey provides a summary on the progress of digital processing techniques for auscultation in TCM, and will be useful for future researches in this area.
  • Keywords
    medical computing; medicine; signal processing; Chinese medical diagnosis; automatic stethoscope; diagnostic effects; digital signal processing; digital technology; microcosmic technology; objective auscultation; sonocytology; traditional Chinese medicine; Cepstral analysis; Cepstrum; Digital signal processing; Diseases; Frequency; Jitter; Medical diagnosis; Medical diagnostic imaging; Signal processing algorithms; Speech analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio, Language and Image Processing, 2008. ICALIP 2008. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1723-0
  • Electronic_ISBN
    978-1-4244-1724-7
  • Type

    conf

  • DOI
    10.1109/ICALIP.2008.4590202
  • Filename
    4590202