Moving the field forward: detection of epileptiform abnormalities on scalp electroencephalography using deep learning—clinical application perspectives

The application of deep learning approaches for the detection of interictal epileptiform discharges is a nascent field, with most studies published in the past 5 years. Although many recent models have been published demonstrating promising results, deficiencies in descriptions of data sets, unstand...

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Detalles Bibliográficos
Autores principales: Janmohamed, Mubeen, Nhu, Duong, Kuhlmann, Levin, Gilligan, Amanda, Tan, Chang Wei, Perucca, Piero, O’Brien, Terence J, Kwan, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453433/
https://www.ncbi.nlm.nih.gov/pubmed/36092304
http://dx.doi.org/10.1093/braincomms/fcac218

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453433/
https://www.ncbi.nlm.nih.gov/pubmed/36092304
http://dx.doi.org/10.1093/braincomms/fcac218

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