An artificial intelligence-based EEG algorithm for detection of epileptiform EEG discharges: Validation against the diagnostic gold standard.

Journal: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Published Date: Apr 2, 2020

Abstract

OBJECTIVE: To validate an artificial intelligence-based computer algorithm for detection of epileptiform EEG discharges (EDs) and subsequent identification of patients with epilepsy.

Authors

  • Franz Fürbass
    Center for Health & Bioresources, AIT Austrian Institute of Technology GmbH, Vienna, Austria.
  • Mustafa Aykut Kural
    Department of Clinical Neurophysiology, Aarhus University Hospital and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
  • Gerhard Gritsch
    Center for Health & Bioresources, AIT Austrian Institute of Technology GmbH, Vienna, Austria.
  • Manfred Hartmann
    Center for Health & Bioresources, AIT Austrian Institute of Technology GmbH, Vienna, Austria.
  • Tilmann Kluge
    Center for Health & Bioresources, AIT Austrian Institute of Technology GmbH, Vienna, Austria.
  • Sándor Beniczky
    Department of Clinical Neurophysiology, Aarhus University Hospital and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Department of Clinical Neurophysiology, Danish Epilepsy Centre, Dianalund, Denmark. Electronic address: sbz@filadelfia.dk.

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