Epilepsy Prediction via Time-Frequency Features and Multi-Scale Hybrid Neural Networks.

The prediction of epileptic seizures heavily depends on the precise embedding and classification of complex, multi-dimensional electroencephalogram (EEG) signals. Due to individual variability and the dynamic non-linear nature of EEG signals, extracting highly discriminative spatiotemporal features...

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Bibliographic Details

Published in:	Journal of Medical Systems Vol. 49; no. 1; pp. 1 - 19
Main Authors:	Chang, Wenwen, Ji, Bingyang, Li, Dandan, Zhen, Lei, Wei, Yaxuan, Liu, Xuan, Yan, Guanghui
Format:	equations & formulas pictorial research tables/charts Journal Article
Published:	Springer Nature 6/25/2025
Online Access:	View this record in EBSCOhost