Seizure Detection by Recurrent Backpropagation Neural Network Analysis

  • Authors:

  • Robyn R. Bates;Mingui Sun;Mark L. Scheuer;Robert J. Sclabassi

  • Affiliations:

  • -;-;-;-

  • Venue:
  • ISUMA '03 Proceedings of the 4th International Symposium on Uncertainty Modelling and Analysis
  • Year:
  • 2003

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Abstract

Detection of the onset of seizure-activity in the EEGrecord of an epileptic patient is an important step in thelocalization of seizure foci. This study employs the use ofthree multilayer recurrent neural-network architecturesto detect seizure-activity onset in multi-channel subduralEEG (SEEG) data. Representing each architecture as(input layer-hidden layer-output layer), the three neuralnetworks examined were 5-10-5, 5-5-1, and 5-10-1.