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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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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 |