Dataset distillation for efficient seizure prediction: tiny-scale data, comparable performance
Objective. Deep learning has shown significant potential in electroencephalogram (EEG)-based seizure prediction. However, translating these advances into practical applications faces critical challenges: the prohibitive time costs of reviewing accumulated historical data during frequent model updates, the need for rapi...