Focal Onset Seizure Prediction Using Convolutional Networks.
Journal:
IEEE transactions on bio-medical engineering
PMID:
29989952
Abstract
OBJECTIVE: This paper investigates the hypothesis that focal seizures can be predicted using scalp electroencephalogram (EEG) data. Our first aim is to learn features that distinguish between the interictal and preictal regions. The second aim is to define a prediction horizon in which the prediction is as accurate and as early as possible, clearly two competing objectives.