• DocumentCode
    2404222
  • Title

    Chaos theory analysis of the newborn EEG - is it worth the wait?

  • Author

    Faul, Stephen ; Boylan, Geraldine ; Connolly, Sean ; Marnane, William ; Lightbody, Gordon

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. Coll. Cork
  • fYear
    2005
  • fDate
    1-1 Sept. 2005
  • Firstpage
    381
  • Lastpage
    386
  • Abstract
    In this study neonatal EEG has been analysed with information theory, complexity, SVD-based and nonlinear dynamic systems theory, or chaos theory, approaches. The analysis has been carried out to determine, given the amount of extra time needed to generate the chaos theory results, if they are considerably better than their information theory, complexity and SVD-based counterparts. The results show that while the KY dimension gives comparable performance to the information theory approaches, its computation time is more than 1000 times greater. The effects of preprocessing are also analysed
  • Keywords
    chaos; electroencephalography; nonlinear dynamical systems; paediatrics; statistical analysis; SVD; chaos theory analysis; information theory; neonatal EEG; newborn EEG; nonlinear dynamic systems theory; statistical theory; Chaos; Educational institutions; Electroencephalography; Entropy; Hospitals; Information analysis; Information theory; Neurophysiology; Pediatrics; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Signal Processing, 2005 IEEE International Workshop on
  • Conference_Location
    Faro
  • Print_ISBN
    0-7803-9030-X
  • Electronic_ISBN
    0-7803-9031-8
  • Type

    conf

  • DOI
    10.1109/WISP.2005.1531689
  • Filename
    1531689