Patient-Specific Preictal Pattern-Aware Epileptic Seizure Prediction with Federated Learning

Electroencephalography (EEG) signals are the primary source for discriminating the preictal from the interictal stage, enabling early warnings before the seizure onset. Epileptic siezure prediction systems face significant challenges due to data scarcity, diversity, and privacy. This paper proposes...

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Detalles Bibliográficos
Autores principales: Saemaldahr, Raghdah, Ilyas, Mohammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385318/
https://www.ncbi.nlm.nih.gov/pubmed/37514873
http://dx.doi.org/10.3390/s23146578

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385318/
https://www.ncbi.nlm.nih.gov/pubmed/37514873
http://dx.doi.org/10.3390/s23146578

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