• DocumentCode
    2309420
  • Title

    A pulse signal processing system for analysis of tumor sickness and syndrome

  • Author

    Yibiao Yu ; Yuling Wang ; Lei Shao ; Honglong Cao ; Weifang Zhu ; Yun Dai

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Soochow Univ., Suzhou
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    1011
  • Lastpage
    1014
  • Abstract
    Pulse signal checking is one of the four Chinese traditional medical diagnosis methods. But few of doctors can use these techniques now in practical diagnosis because of difficulty of understanding. In this paper, a modern pulse signal processing system based on TMS320C6713 DSP for tumor sickness diagnosis and syndromes analysis is described. Pulse signal is sampled with 300 Hz frequency and 8 bits quantization, then saved in a data buffer with length of 10 Kbytes to be processed by DSP. Linear predictive cepstrum coefficient is selected as features and vector quantization is hired for model training. The system is designed to be used as a tumor sickness diagnosis and syndrome analysis assistant in practical application.
  • Keywords
    medical diagnostic computing; medical signal processing; vector quantisation; Chinese traditional medical diagnosis methods; TMS320C6713 DSP; linear predictive cepstrum coefficient; pulse signal checking; pulse signal processing system; tumor sickness; tumor syndrome; vector quantization; Cepstral analysis; Cepstrum; Computer buffers; Digital signal processing; Frequency; Medical diagnosis; Neoplasms; Quantization; Signal analysis; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IT in Medicine and Education, 2008. ITME 2008. IEEE International Symposium on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-3616-3
  • Electronic_ISBN
    978-1-4244-2511-2
  • Type

    conf

  • DOI
    10.1109/ITME.2008.4744022
  • Filename
    4744022