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...
| Publicado en: | Journal of Medical Systems Vol. 49; no. 1; pp. 1 - 19 |
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| Autores principales: | , , , , , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
6/25/2025
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| Acceso en línea: | Ver este registro en EBSCOhost |