Characterizing nonlinearity in invasive EEG recordings from temporal lobe epilepsy

DOI10.1016/S0167-2789(96)00160-1zbMath0886.92012OpenAlexW2021546756MaRDI QIDQ2564818

R. S. Savit, R. L. Gilmore, J. Chris Sackellares, S. N. Roper, Leonidas D. Iasemidis, Martin Casdagli

Publication date: 3 February 1997

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

Full work available at URL: https://doi.org/10.1016/s0167-2789(96)00160-1

zbMATH Keywords

waveletssurrogate datanonlinear predictionepileptogenic focusinvasive EEG

Mathematics Subject Classification ID

Neural biology (92C20) Medical applications (general) (92C50)

Related Items (10)

Comparison of three nonlinear seizure prediction methods by means of the seizure prediction characteristic ⋮ Characterization of complex behaviors of TCP/RED computer networks based on nonlinear time series analysis methods ⋮ Nonstationarity in epileptic EEG and implications for neural dynamics ⋮ Nonlinear, non-invasive method for seizure anticipation in focal epilepsy ⋮ Nonlinear analyses of interictal EEG map the brain interdependences in human focal epilepsy. ⋮ Quantitative complexity analysis in multi-channel intracranial EEG recordings from epilepsy brains ⋮ Statistical information approaches for the modelling of the epileptic brain ⋮ Electroencephalograms in epilepsy: Analysis and seizure prediction within the framework of Lyapunov theory ⋮ Characterizing nonlinearity in invasive EEG recordings from temporal lobe epilepsy ⋮ Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients

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