Epilepsy seizure prediction with few-shot learning method

HIGHLIGHTS

  • who: Jamal Nazari from the (UNIVERSITY) have published the research: Epilepsy seizure prediction with few-shot learning method, in the Journal: (JOURNAL)
  • what: In this paper a convolutional neural network (CNN) is proposed to diagnose the preictal period. The main method in the discussion, which is the primary purpose of this work, is called few-shot learning (FSL), which the authors will examine. In this paper, a new few-shot learning perspective was proposed to predict epileptic seizures based on multi-channel raw EEG signals. This study provided a promising solution for seizure prediction with . . .

     

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