Patient-Specific Seizure Prediction via Adder Network and Supervised Contrastive Learning
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, most of the current approaches in this fiel...
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| Main Authors: | , , , , , |
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| Format: | Book |
| Published: |
IEEE,
2022-01-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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