An improved model using convolutional sliding window-attention network for motor imagery EEG classification

INTRODUCTION: The classification model of motor imagery-based electroencephalogram (MI-EEG) is a new human-computer interface pattern and a new neural rehabilitation assessment method for diseases such as Parkinson's and stroke. However, existing MI-EEG models often suffer from insufficient ric...

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Detalles Bibliográficos
Autores principales: Huang, Yuxuan, Zheng, Jianxu, Xu, Binxing, Li, Xuhang, Liu, Yu, Wang, Zijian, Feng, Hua, Cao, Shiqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469504/
https://www.ncbi.nlm.nih.gov/pubmed/37662108
http://dx.doi.org/10.3389/fnins.2023.1204385

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469504/
https://www.ncbi.nlm.nih.gov/pubmed/37662108
http://dx.doi.org/10.3389/fnins.2023.1204385

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