TY - JOUR
T1 - Inability of Lyapunov Exponents to Predict Epileptic Seizures
AU - Lai, Ying-Cheng
AU - Harrison, Mary Ann F
AU - Frei, Mark G.
AU - Osorio, Ivan
PY - 2003/8/8
Y1 - 2003/8/8
N2 - 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.
AB - 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.
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U2 - 10.1103/PhysRevLett.91.068102
DO - 10.1103/PhysRevLett.91.068102
M3 - Article
C2 - 12935113
AN - SCOPUS:0141941639
SN - 0031-9007
VL - 91
JO - Physical Review Letters
JF - Physical Review Letters
IS - 6
ER -