EEG-based image classification via a region-level stacked bi-directional deep learning framework

BACKGROUND: As a physiological signal, EEG data cannot be subjectively changed or hidden. Compared with other physiological signals, EEG signals are directly related to human cortical activities with excellent temporal resolution. After the rapid development of machine learning and artificial intell...

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Detalles Bibliográficos
Autores principales: Fares, Ahmed, Zhong, Sheng-hua, Jiang, Jianmin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6921386/
https://www.ncbi.nlm.nih.gov/pubmed/31856818
http://dx.doi.org/10.1186/s12911-019-0967-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6921386/
https://www.ncbi.nlm.nih.gov/pubmed/31856818
http://dx.doi.org/10.1186/s12911-019-0967-9

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