Inability of Lyapunov Exponents to Predict Epileptic Seizures

Ying-Cheng Lai, Mary Ann F Harrison, Mark G. Frei, Ivan Osorio

Research output: Contribution to journalArticle

62 Scopus citations

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 (US)
JournalPhysical Review Letters
Volume91
Issue number6
DOIs
StatePublished - Aug 8 2003

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Fingerprint Dive into the research topics of 'Inability of Lyapunov Exponents to Predict Epileptic Seizures'. Together they form a unique fingerprint.

  • Cite this