Patient-Specific Seizure Prediction via Adder Network and Supervised Contrastive Learning
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DOI: 10.1109/tnsre.2022.3180155
Abstract: Deep learning (DL) methods have been widely used in the field of seizure prediction from electroencephalogram (EEG) in recent years. However, DL methods usually have numerous multiplication operations resulting in high computational complexity. In addtion,… read more here.
Keywords: seizure prediction; adder network; supervised contrastive; contrastive learning ... See more keywords