Classification of motor imagery electroencephalogram signals by using adaptive cross-subject transfer learning

INTRODUCTION: Electroencephalogram (EEG)-based motor imagery (MI) classification is an important aspect in brain-computer interfaces (BCIs), which bridges between neural system and computer devices decoding brain signals into recognizable machine commands. However, due to the small number of trainin...

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Detalles Bibliográficos
Autores principales: Feng, Jin, Li, Yunde, Jiang, Chengliang, Liu, Yu, Li, Mingxin, Hu, Qinghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9811670/
https://www.ncbi.nlm.nih.gov/pubmed/36618992
http://dx.doi.org/10.3389/fnhum.2022.1068165

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9811670/
https://www.ncbi.nlm.nih.gov/pubmed/36618992
http://dx.doi.org/10.3389/fnhum.2022.1068165

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