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EEG Database

The EEG Database is discontinued and not further available for download since it is superseded by the new European Epilepsy Database.  (available for purchase)

More information and prices at http://epilepsy-database.eu/


The EEG database contains invasive EEG recordings of 21 patients suffering from medically intractable focal epilepsy. The data were recorded during an invasive pre-surgical epilepsy monitoring at the Epilepsy Center of the University Hospital of Freiburg, Germany. In eleven patients, the epileptic focus was located in neocortical brain structures, in eight patients in the hippocampus, and in two patients in both. In order to obtain a high signal-to-noise ratio, fewer artifacts, and to record directly from focal areas, intracranial grid-, strip-, and depth-electrodes were utilized. The EEG data were acquired using a Neurofile NT digital video EEG system with 128 channels, 256 Hz sampling rate, and a 16 bit analogue-to-digital converter. Notch or band pass filters have not been applied.

For each of the patients, there are datasets called "ictal" and "interictal", the former containing files with epileptic seizures and at least 50 min pre-ictal data. the latter containing approximately 24 hours of EEG-recordings without seizure activity. At least 24 h of continuous interictal recordings are available for 13 patients. For the remaining patients interictal invasive EEG data consisting of less than 24 h were joined together, to end up with at least 24 h per patient. For each patient, the recordings of three focal and three extra-focal electrode contacts is available.


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    The EEG data base has been described and utilized in the following publications:


  • [5] B. Schelter, M. Winterhalder, T. Maiwald, A. Brandt, A. Schad, J. Timmer, A. Schulze-Bonhage.:
    Do false predictions of seizures depend on the state of vigilance? A report from two seizure prediction methods and proposed remedies.

    Epilepsia, 47:2058-2070, 2006.
  • [4] B. Schelter, M. Winterhalder, T. Maiwald, A. Brandt, A. Schad, A. Schulze-Bonhage, and J. Timmer
    Testing statistical significance of multivariate time series analysis techniques for epileptic seizure prediction.

    Chaos, 16: 013108, 2006.
  • [3] T. Maiwald, M. Winterhalder, R. Aschenbrenner-Scheibe, H.U. Voss, A. Schulze-Bonhage and J. Timmer.
    Comparison of three nonlinear seizure prediction methods by means of the seizure prediction characteristic.
    Physica D, 194:357-368, 2004.
  • [2] R. Aschenbrenner-Scheibe, T. Maiwald, M. Winterhalder, H.U. Voss, J. Timmer and A. Schulze-Bonhage.
    How well can epileptic seizures be predicted? An evaluation of a nonlinear method.
    Brain, 126:2616-2626, 2003.
  • [1] M. Winterhalder, T. Maiwald, H.U. Voss, R. Aschenbrenner-Scheibe, J. Timmer and A. Schulze-Bonhage.
    The seizure prediction characteristic: A general framework to assess and compare seizure prediction methods.
    Epilepsy Behav., 4(3):318-325, 2003.
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