Motor Imagery EEG Classification Based on Transfer Learning and Multi-Scale Convolution Network

For the successful application of brain-computer interface (BCI) systems, accurate recognition of electroencephalography (EEG) signals is one of the core issues. To solve the differences in individual EEG signals and the problem of less EEG data in classification and recognition, an attention mechan...

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Detalles Bibliográficos
Autores principales: Chang, Zhanyuan, Zhang, Congcong, Li, Chuanjiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228168/
https://www.ncbi.nlm.nih.gov/pubmed/35744539
http://dx.doi.org/10.3390/mi13060927

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228168/
https://www.ncbi.nlm.nih.gov/pubmed/35744539
http://dx.doi.org/10.3390/mi13060927

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