Electroencephalograms in epilepsy: Analysis and seizure prediction within the framework of Lyapunov theory

DOI10.1016/S0167-2789(99)00043-3zbMath0951.92015OpenAlexW2035254988MaRDI QIDQ1809182

Yanyan Li

Publication date: 25 November 1999

Published in: Physica D (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-2789(99)00043-3

zbMATH Keywords

dissipationLyapunov exponentselectroencephalogramsKolmogorov entropies

Mathematics Subject Classification ID

Neural biology (92C20) Biomedical imaging and signal processing (92C55) Medical applications (general) (92C50)

Related Items (6)

Comparison of three nonlinear seizure prediction methods by means of the seizure prediction characteristic ⋮ NONLINEAR TIME SERIES ANALYSIS IN EPILEPSY ⋮ Hyperspherical manifold for EEG signals of epileptic seizures ⋮ An efficient algorithm to determine fractal dimensions of point sets ⋮ Quantitative Determination of Abrupt Changes in Dynamical Systems: Illustration Via Identification of Seizure Termination in Generalized Tonic–Clonic Seizure EEG Data ⋮ Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients

Cites Work

• Unnamed Item
• Testing for nonlinearity in time series: the method of surrogate data
• Characterizing nonlinearity in invasive EEG recordings from temporal lobe epilepsy
• Ergodic theory of chaos and strange attractors

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