Inability of Lyapunov exponents to predict epileptic seizures.
نویسندگان
چکیده
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.
منابع مشابه
Controlled test for predictive power of Lyapunov exponents: their inability to predict epileptic seizures.
Lyapunov exponents are a set of fundamental dynamical invariants characterizing a system's sensitive dependence on initial conditions. For more than a decade, it has been claimed that the exponents computed from electroencephalogram (EEG) or electrocorticogram (ECoG) signals can be used for prediction of epileptic seizures minutes or even tens of minutes in advance. The purpose of this paper is...
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ورودعنوان ژورنال:
- Physical review letters
دوره 91 6 شماره
صفحات -
تاریخ انتشار 2003