• DocumentCode
    2287488
  • Title

    Preliminary exploration of research method for studying the influence of acupuncture manipulations on electrical signals of spinal dorsal root nerve in rats

  • Author

    Zheng, Zebao ; Liu, Yangyang ; Guo, Yi ; Guo, Yongming ; Wang, Chao ; Wang, Jiang ; Han, Chunxiao

  • Author_Institution
    Coll. of Acupuncture & moxibustion, Tianjin Univ. of Traditional Chinese Med., Tianjin, China
  • Volume
    1
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    509
  • Lastpage
    513
  • Abstract
    When acupuncture acts on the body, the most rapid and direct reaction is the influence on nervous system, which shows as the onset of neural electrical signals. Because of the non-linear characteristic of neural electrical signals, the traditional linear analysis can´t completely reflect the influence of acupuncture on nervous system. In order to analyze the characteristics and regularities of electrical signals evoked by different acupuncture manipulations, and explore new methods for the objectification and quantization study of acupuncture manipulations, non-linear time series and wavelet analysis were employed to analyze the characteristics of electrical signals of spinal dorsal root fine nerve bundle evoked by stimulating Zusanli point (ST36) on normal rats with four acupuncture manipulation methods: lift-thrust reinforcing method (Ltf), lift-thrust reducing method (Ltd), rotate-twirl reinforcing method (Rtf) and rotate-twirl reducing method (Rtd). The result indicated the electrical signals evoked by acupuncture has stationary characteristic; and different electrical signals evoked by different acupuncture manipulations had obvious chaotic characteristic. The non-linear time series and wavelet analysis are effective methods for studying the objectification and quantization of acupuncture manipulation.
  • Keywords
    bioelectric phenomena; biomedical measurement; medical signal detection; medical signal processing; neurophysiology; Zusanli point; acupuncture manipulations; chaotic characteristic; lift-thrust reducing method; lift-thrust reinforcing method; neural electrical signals; nonlinear time series; rats; rotate-twirl reducing method; rotate-twirl reinforcing method; spinal dorsal root fine nerve bundle; spinal dorsal root nerve electrical signals; wavelet analysis; Correlation; Entropy; Nervous system; Quantization; Rats; Time series analysis; Wavelet analysis; Zusanli point (ST36); acupuncture; chaos; electrical signals; spinal dorsal root; wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2010 Sixth International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5958-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2010.5583131
  • Filename
    5583131