• DocumentCode
    3450187
  • Title

    Application of chaos analytic methods based on normal EEG

  • Author

    Lv Jiu-ming ; Jing-qing, Luo ; Xue-Hua, Yuan

  • Author_Institution
    Electron. Eng. Inst., Hefei, China
  • fYear
    2004
  • fDate
    1-4 Nov. 2004
  • Firstpage
    426
  • Lastpage
    429
  • Abstract
    EEG (electroencephalogram) is usually used to analyze brain activity in clinical medicine; it can distinguish the abnormal circadian state from the normal circadian state. The paper presents some chaos time series analysis methods for analyzing the circadian state by the doctor/researcher. The validity of the methods is verified by some related graphs produced by computer simulation, and all these methods hold water in medical application and research.
  • Keywords
    chaos; electroencephalography; medical signal processing; time series; time-frequency analysis; abnormal circadian state; brain activity; chaos analytic methods; chaos time series analysis methods; electroencephalogram; normal EEG; normal circadian state; time-frequency domain analysis; Biomedical engineering; Brain; Chaos; Computer simulation; Electroencephalography; Frequency domain analysis; Nonlinear dynamical systems; Sleep; Time domain analysis; Time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Electromagnetics and Its Applications, 2004. Proceedings. ICCEA 2004. 2004 3rd International Conference on
  • Print_ISBN
    0-7803-8562-4
  • Type

    conf

  • DOI
    10.1109/ICCEA.2004.1459383
  • Filename
    1459383