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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...
Autores principales: | Chung, Yoon Gi, Lee, Woo-Jin, Na, Sung Min, Kim, Hunmin, Hwang, Hee, Yun, Chang-Ho, Kim, Ki Joong |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
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 |
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