Retraining and evaluation of machine learning and deep learning models for seizure classification from EEG data

Retraining and evaluation of machine learning and deep learning models for seizure classification from EEG data

Abstract Electroencephalography (EEG) is one of the most used techniques to perform diagnosis of epilepsy. However, manual annotation of seizures in EEG data is a major time-consuming step in the analysis process of EEGs. Different machine learning models have been developed to perform automated det...

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Main Authors: Juan Pablo Carvajal-Dossman¹, Laura Guio, Danilo García-Orjuela, Jennifer J. Guzmán-Porras, Kelly Garces, Andres Naranjo, Silvia Juliana Maradei-Anaya, Jorge Duitama
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-025-98389-y
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https://doi.org/10.1038/s41598-025-98389-y

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