Semi-supervised Training Data Selection Improves Seizure Forecasting in Canines with Epilepsy.

Journal: Biomedical signal processing and control
Published Date: Nov 14, 2019

Abstract

OBJECTIVE: Conventional selection of pre-ictal EEG epochs for seizure prediction algorithm training data typically assumes a continuous pre-ictal brain state preceding a seizure. This is carried out by defining a fixed duration, pre-ictal time period before seizures from which pre-ictal training data epochs are uniformly sampled. However, stochastic physiological and pathological fluctuations in EEG data characteristics and underlying brain states suggest that pre-ictal state dynamics may be more complex, and selection of pre-ictal training data segments to reflect this could improve algorithm performance.

Authors

  • Mona Nasseri
    Mayo Systems Electrophysiology Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, USA.
  • Vaclav Kremen
    Mayo Systems Electrophysiology Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, USA.
  • Petr Nejedly
    Mayo Systems Electrophysiology Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, USA.
  • Inyong Kim
    Mayo Systems Electrophysiology Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, USA.
  • Su-Youne Chang
    Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA.
  • Hang Joon Jo
    Mayo Systems Electrophysiology Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, USA.
  • Hari Guragain
    Mayo Systems Electrophysiology Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, USA.
  • Nathaniel Nelson
    Mayo Systems Electrophysiology Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, USA.
  • Edward Patterson
    Department of Veterinary Clinical Sciences, University of Minnesota College of Veterinary Medicine, St. Paul, MN, USA.
  • Beverly K Sturges
    Veterinary Medical Teaching Hospital, University of California at Davis, Davis, CA 95616, USA.
  • Chelsea M Crowe
    Veterinary Medical Teaching Hospital, University of California at Davis, Davis, CA 95616, USA.
  • Tim Denison
    Institute of Biomedical Engineering, University of Oxford, Oxford OX3 7DQ, UK.
  • Benjamin H Brinkmann
    Mayo Systems Electrophysiology Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, USA.
  • Gregory A Worrell
    Mayo Systems Electrophysiology Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, USA.

Keywords

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