Channel-Adaptive Temporal Modeling with Grouped Convolutional Network and Informer for Seizure Detection and Prediction
Reliable identification and early prediction of epileptic seizures play a critical role in improving patient outcomes and supporting timely therapeutic decision-making. To address the challenges of spatiotemporal feature coupling and long-range dependency modeling in multi-channel EEG signals, this paper proposes a cha...