Inability of Lyapunov exponents to predict epileptic seizures

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

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62 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