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Predictability analysis for an automated seizure prediction algorithm

  • J. Chris Sackellares
  • , Deng Shan Shiau
  • , Jose C. Principe
  • , Mark C.K. Yang
  • , Linda K. Dance
  • , Wichai Suharitdamrong
  • , Wanpracha Chaovalitwongse
  • , Panos M. Pardalos
  • , Leonidas D. Iasemidis
  • University of Florida
  • University of Florida College of Medicine
  • Department of Veterans Affairs Medical Center
  • Rutgers University–New Brunswick
  • Arizona State University

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)509-520
Number of pages12
JournalJournal of Clinical Neurophysiology
Volume23
Issue number6
DOIs
StatePublished - Dec 2006
Externally publishedYes

ASJC Scopus Subject Areas

  • Physiology
  • Neurology
  • Clinical Neurology
  • Physiology (medical)

Keywords

  • Intracranial EEG
  • Naïve Prediction
  • Predictability Power
  • Seizure Predictability
  • Short-Term Maximum Lyapunov Exponent

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