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Analysis of EEG data from epilepsy patients
(Andrzejak, Grassberger, Kraskov, Kreuz, Stoegbauer, Yang)
| This work grew out of a long standing interest in nonlinear time series
analysis. It is mostly done within a collaboration with the Clinic of Epileptology
of the University Bonn. There, intracranial data are taken from patients
who are screened for possible surgery. These data are then used to localize
the epileptic focus. On the other hand, they are also used for developping
methods for seizure prediction.
The methods which we use are now mostly bivariate ones, i.e. interdependencies between different EEG channels and phase synchronization. In addition, we proposed a novel and very simple method to detect event synchronization, and we study the usefulness of principle component analysis (PCA) and independent component analysis (ICA) for these data. |