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A systematic comparison of deep learning methods for EEG time series analysis

Analyzing time series data like EEG or MEG is challenging due to noisy, high-dimensional, and patient-specific signals. Deep learning methods have been demonstrated to be superior in analyzing time series data compared to shallow learning methods which utilize handcrafted and often subjective featur...

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Detalles Bibliográficos
Autores principales: Walther, Dominik, Viehweg, Johannes, Haueisen, Jens, Mäder, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9995756/
https://www.ncbi.nlm.nih.gov/pubmed/36911074
http://dx.doi.org/10.3389/fninf.2023.1067095