• DocumentCode
    618374
  • Title

    Fuzzy Lyapunov exponent based onset detection of the epileptic seizures

  • Author

    Arunkumar, N. ; Ramkumar, Kannan ; Hema, S. ; Nithya, A. ; Prakash, P. ; Kirthika, V.

  • Author_Institution
    Dept. of Electron. & Instrum. Eng., SASTRA Univ., Thanjavur, India
  • fYear
    2013
  • fDate
    11-12 April 2013
  • Firstpage
    701
  • Lastpage
    706
  • Abstract
    Various algorithms have been proposed for the detection of onset of epilepsy. Here we have used the Rosenstein algorithm to calculate the Largest Lyapunov exponent of the given Electroencephalogram (EEG) signal. We have combined this algorithm with fuzzy-rule based system. A fuzzy interference system is employed to detect the normal and the onset of epilepsy.
  • Keywords
    Lyapunov methods; electroencephalography; fuzzy reasoning; fuzzy systems; medical disorders; medical signal processing; EEG signal; Rosenstein algorithm; electroencephalogram signal; epileptic seizure detection; fuzzy Lyapunov exponent based onset detection; fuzzy interference system; fuzzy-rule based system; Communications technology; Conferences; Educational institutions; Electroencephalography; Entropy; Epilepsy; Interference; Fuzzy logic; Largest Lyapunov Exponent; epilepsy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information & Communication Technologies (ICT), 2013 IEEE Conference on
  • Conference_Location
    JeJu Island
  • Print_ISBN
    978-1-4673-5759-3
  • Type

    conf

  • DOI
    10.1109/CICT.2013.6558185
  • Filename
    6558185
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=618374