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

Abstract 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, tem...

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Bibliographic Details
Main Authors: Yoon Gi Chung, Woo-Jin Lee, Sung Min Na, Hunmin Kim, Hee Hwang, Chang-Ho Yun, Ki Joong Kim
Format: Article
Language:English
Published: Nature Portfolio 2023-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-33906-5