• DocumentCode
    2671814
  • Title

    Synchronization analysis of EEG signals evoked by manual acupuncture

  • Author

    Chunxiao Han ; Jiang Wang ; Shigang Cui ; Li Zhao ; Yanqiu Che

  • Author_Institution
    Tianjin Key Lab. of Inf. Sensing & Intell. Control, Tianjin Univ. of Technol. & Educ., Tianjin, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    2455
  • Lastpage
    2459
  • Abstract
    Manual acupuncture (MA), as a mechanical action, can be equivalent to an external stimulus to the neural system. However, the regulation and action mechanism of acupuncture is still unclear. In the present study, synchronization levels of brain activities evoked by MA is investigated. We design an experiment that acupuncture at Zusanli with four different frequencies to obtain electroencephalograph (EEG) signals. Since neural system is a complex nonlinear dynamics system that possesses strong nonlinear characteristic, phase synchronization (PS) based on recurrence plot method is introduced to quantify the synchronization between EEG signals induced by MA. It is found that the synchronization between different brain regions during acupuncture is obviously lower than that before acupuncture, which can prove that MA has effect on the brain.
  • Keywords
    bioelectric potentials; electroencephalography; neurophysiology; nonlinear dynamical systems; synchronisation; EEG signal synchronization evoked analysis; Zusanli acupuncture; action mechanism; brain activities; complex nonlinear dynamics system; electroencephalography; external stimulus; manual acupuncture; mechanical action; neural system; nonlinear characteristic phase synchronization; regulation mechanism; Brain; Educational institutions; Electroencephalography; Humans; Oscillators; Synchronization; Acupuncture; EEG; Nonlinear; Phase Synchronization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2012 24th Chinese
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4577-2073-4
  • Type

    conf

  • DOI
    10.1109/CCDC.2012.6244392
  • Filename
    6244392