Deep learning-based automated detection and multiclass classification of focal interictal epileptiform discharges in scalp electroencephalograms

Detection and spatial distribution analyses of interictal epileptiform discharges (IEDs) are important for diagnosing, classifying, and treating focal epilepsy. This study proposes deep learning-based models to detect focal IEDs in electroencephalography (EEG) recordings of the frontal, temporal, an...

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Detalles Bibliográficos
Autores principales: Chung, Yoon Gi, Lee, Woo-Jin, Na, Sung Min, Kim, Hunmin, Hwang, Hee, Yun, Chang-Ho, Kim, Ki Joong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130023/
https://www.ncbi.nlm.nih.gov/pubmed/37185941
http://dx.doi.org/10.1038/s41598-023-33906-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130023/
https://www.ncbi.nlm.nih.gov/pubmed/37185941
http://dx.doi.org/10.1038/s41598-023-33906-5

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