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Epileptic seizure prediction using successive variational mode decomposition and transformers deep learning network
As one of the most common neurological disorders, epilepsy causes great physical and psychological damage to the patients. The long-term recurrent and unprovoked seizures make the prediction necessary. In this paper, a novel approach for epileptic seizure prediction based on successive variational m...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9548615/ https://www.ncbi.nlm.nih.gov/pubmed/36225738 http://dx.doi.org/10.3389/fnins.2022.982541 |