• DocumentCode
    2983210
  • Title

    The Study on Non-Linear Identification Algorithm about EEG

  • Author

    Cui, Jianming ; Guo, Xiaoming

  • Author_Institution
    Modern Educ. Technol. Center, Guilin Univ. of Technol., Guilin, China
  • fYear
    2011
  • fDate
    12-14 Aug. 2011
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    About EEG, we could seem as a chaotic attractor, and the identification EEG has been changed into the identification of non-linear parameter. In the identification processing, we find that the optimized algorithm PSO is better to produce a adaptive result.
  • Keywords
    chaos; electroencephalography; medical signal processing; nonlinear dynamical systems; particle swarm optimisation; signal classification; EEG identification; PSO; chaotic attractor; electroencephalography; nonlinear parameter identification algorithm; particle swarm optimisation; Algorithm design and analysis; Brain modeling; Chaos; Electroencephalography; Mathematical model; Noise; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science (MASS), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6579-8
  • Type

    conf

  • DOI
    10.1109/ICMSS.2011.5999218
  • Filename
    5999218
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2983210