Automated seizure activity tracking and onset zone localization from scalp EEG using deep neural networks

We propose a novel neural network architecture, SZTrack, to detect and track the spatio-temporal propagation of seizure activity in multichannel EEG. SZTrack combines a convolutional neural network encoder operating on individual EEG channels with recurrent neural networks to capture the evolution o...

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Detalles Bibliográficos
Autores principales: Craley, Jeff, Jouny, Christophe, Johnson, Emily, Hsu, David, Ahmed, Raheel, Venkataraman, Archana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8884583/
https://www.ncbi.nlm.nih.gov/pubmed/35226686
http://dx.doi.org/10.1371/journal.pone.0264537

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8884583/
https://www.ncbi.nlm.nih.gov/pubmed/35226686
http://dx.doi.org/10.1371/journal.pone.0264537

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