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MCGNet(+): an improved motor imagery classification based on cosine similarity

It has been a challenge for solving the motor imagery classification problem in the brain informatics area. Accuracy and efficiency are the major obstacles for motor imagery analysis in the past decades since the computational capability and algorithmic availability cannot satisfy complex brain sign...

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Detalles Bibliográficos
Autores principales: Li, Yan, Zhong, Ning, Taniar, David, Zhang, Haolan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8807751/
https://www.ncbi.nlm.nih.gov/pubmed/35103873
http://dx.doi.org/10.1186/s40708-021-00151-3