Comparison of three nonlinear seizure prediction methods by means of the seizure prediction characteristic
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Publication:1888138
DOI10.1016/j.physd.2004.02.013zbMath1055.92026OpenAlexW2169812774MaRDI QIDQ1888138
Henning U. Voss, Thomas Maiwald, Richard Aschenbrenner-Scheibe, Matthias Winterhalder, Jens Timmer, Andreas Schulze-Bonhage
Publication date: 22 November 2004
Published in: Physica D (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.physd.2004.02.013
SensitivityComparisonEpilepsySeizure predictionFalse prediction rateSeizure prediction characteristic
Related Items (5)
Testing statistical significance of multivariate time series analysis techniques for epileptic seizure prediction ⋮ Phase distribution control of neural oscillator populations using local radial basis function meshfree technique with application in epileptic seizures: a numerical simulation approach ⋮ Patient specific seizure prediction system using Hilbert spectrum and Bayesian networks classifiers ⋮ Bifurcation analysis of the Poincaré map function of intracranial EEG signals in temporal lobe epilepsy patients ⋮ Nonlinear similarity analysis for epileptic seizures prediction
Cites Work
- Measuring the strangeness of strange attractors
- Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients
- Electroencephalograms in epilepsy: Analysis and seizure prediction within the framework of Lyapunov theory
- Characterizing nonlinearity in invasive EEG recordings from temporal lobe epilepsy
- Quadratic binary programming and dynamical system approach to determine the predictability of epileptic seizures
- A robust method for detecting interdependences: Application to intracranially recorded EEG
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