Generative adversarial networks in EEG analysis: an overview

Electroencephalogram (EEG) signals have been utilized in a variety of medical as well as engineering applications. However, one of the challenges associated with recording EEG data is the difficulty of recording large amounts of data. Consequently, data augmentation is a potential solution to overco...

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Detalles Bibliográficos
Autores principales: Habashi, Ahmed G., Azab, Ahmed M., Eldawlatly, Seif, Aly, Gamal M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10088201/
https://www.ncbi.nlm.nih.gov/pubmed/37038142
http://dx.doi.org/10.1186/s12984-023-01169-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10088201/
https://www.ncbi.nlm.nih.gov/pubmed/37038142
http://dx.doi.org/10.1186/s12984-023-01169-w

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