Utilization of temporal autoencoder for semi-supervised intracranial EEG clustering and classification

Utilization of temporal autoencoder for semi-supervised intracranial EEG clustering and classification

Abstract Manual visual review, annotation and categorization of electroencephalography (EEG) is a time-consuming task that is often associated with human bias and requires trained electrophysiology experts with specific domain knowledge. This challenge is now compounded by development of measurement...

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Bibliographic Details
Main Authors: Petr Nejedly, Vaclav Kremen, Kamila Lepkova, Filip Mivalt, Vladimir Sladky, Tereza Pridalova, Filip Plesinger, Pavel Jurak, Martin Pail, Milan Brazdil, Petr Klimes, Gregory Worrell
Format: Article
Language:English
Published: Nature Portfolio 2023-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-27978-6

Internet

https://doi.org/10.1038/s41598-023-27978-6

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