An effective fusion model for seizure prediction: GAMRNN

The early prediction of epileptic seizures holds paramount significance in patient care and medical research. Extracting useful spatial-temporal features to facilitate seizure prediction represents a primary challenge in this field. This study proposes GAMRNN, a novel methodology integrating a dual-...

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Detalles Bibliográficos
Autores principales: Ji, Hong, Xu, Ting, Xue, Tao, Xu, Tao, Yan, Zhiqiang, Liu, Yonghong, Chen, Badong, Jiang, Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10477703/
https://www.ncbi.nlm.nih.gov/pubmed/37674519
http://dx.doi.org/10.3389/fnins.2023.1246995

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10477703/
https://www.ncbi.nlm.nih.gov/pubmed/37674519
http://dx.doi.org/10.3389/fnins.2023.1246995

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