The impact of EEG preprocessing parameters on ultra-low-power seizure detection.

Journal: Epilepsia
Published Date: Jun 30, 2025

Abstract

OBJECTIVE: Closed-loop neurostimulation is a promising treatment for drug-resistant focal epilepsy. A major challenge is fast and reliable seizure detection via electroencephalography (EEG). Although many approaches have been published, they often lack statistical power and practical utility. The use of various EEG preprocessing parameters and performance metrics hampers comparability. Additionally, the critical issue of energy consumption for an application in medical devices is rarely considered. Addressing these points, we present a systematic analysis of the impact of EEG preprocessing parameters on seizure detection performance and energy consumption, using one to four EEG channels.

Authors

  • Patrick Reisinger
    Precisis GmbH, Research & Development, Heidelberg, Germany.
  • Jonathan Larochelle
    Department of Microsystems Engineering-IMTEK, University of Freiburg, Freiburg, Germany.
  • Ciamak Abkai
    Precisis GmbH, Research & Development, Heidelberg, Germany.
  • Sotirios Kalousios
    Epilepsy Center, Department of Neurosurgery, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
  • Nico Zabler
    Department of Microsystems Engineering-IMTEK, University of Freiburg, Freiburg, Germany.
  • Matthias Dumpelmann
  • Andreas Schulze-Bonhage
  • Peter Woias
  • Laura Comella
    Department of Microsystems Engineering-IMTEK, University of Freiburg, Freiburg, Germany.

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