Deep and Wide Transfer Learning with Kernel Matching for Pooling Data from Electroencephalography and Psychological Questionnaires

Motor imagery (MI) promotes motor learning and encourages brain–computer interface systems that entail electroencephalogram (EEG) decoding. However, a long period of training is required to master brain rhythms’ self-regulation, resulting in users with MI inefficiency. We introduce a parameter-based...

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Detalles Bibliográficos
Autores principales: Collazos-Huertas, Diego Fabian, Velasquez-Martinez, Luisa Fernanda, Perez-Nastar, Hernan Dario, Alvarez-Meza, Andres Marino, Castellanos-Dominguez, German
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347227/
https://www.ncbi.nlm.nih.gov/pubmed/34372338
http://dx.doi.org/10.3390/s21155105

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347227/
https://www.ncbi.nlm.nih.gov/pubmed/34372338
http://dx.doi.org/10.3390/s21155105

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