Inability of Lyapunov exponents to predict epileptic seizures

Ying-Cheng Lai, M A F Harrison, M G Frei, I Osorio

Research output: Contribution to journalArticle

61 Citations (Scopus)

Abstract

It has been claimed that Lyapunov exponents computed from electroencephalogram or electrocorticogram (ECoG) time series are useful for early prediction of epileptic seizures. We show, by utilizing a paradigmatic chaotic system, that there are two major obstacles that can fundamentally hinder the predictive power of Lyapunov exponents computed from time series: finite-time statistical fluctuations and noise. A case study with an ECoG signal recorded from a patient with epilepsy is presented.

Original languageEnglish
Article number068102
Number of pages4
JournalPhysical Review Letters
Volume91
Issue number6
DOIs
Publication statusPublished - 8 Aug 2003

Keywords

  • brain electrical activity
  • time-series analysis
  • preictal transition
  • scalp egg
  • dimension
  • dynamics
  • chaos

Cite this

Lai, Y-C., Harrison, M. A. F., Frei, M. G., & Osorio, I. (2003). Inability of Lyapunov exponents to predict epileptic seizures. Physical Review Letters, 91(6), [068102]. https://doi.org/10.1103/PhysRevLett.91.068102

Inability of Lyapunov exponents to predict epileptic seizures. / Lai, Ying-Cheng; Harrison, M A F ; Frei, M G ; Osorio, I .

In: Physical Review Letters, Vol. 91, No. 6, 068102, 08.08.2003.

Research output: Contribution to journalArticle

Lai, Ying-Cheng ; Harrison, M A F ; Frei, M G ; Osorio, I . / Inability of Lyapunov exponents to predict epileptic seizures. In: Physical Review Letters. 2003 ; Vol. 91, No. 6.
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