Parallel Spatial–Temporal Self-Attention CNN-Based Motor Imagery Classification for BCI

Motor imagery (MI) electroencephalography (EEG) classification is an important part of the brain-computer interface (BCI), allowing people with mobility problems to communicate with the outside world via assistive devices. However, EEG decoding is a challenging task because of its complexity, dynami...

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Bibliografiske detaljer
Udgivet i:Front Neurosci
Main Authors: Liu, Xiuling, Shen, Yonglong, Liu, Jing, Yang, Jianli, Xiong, Peng, Lin, Feng
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2020
Fag:
Neuroscience
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7759669/
https://ncbi.nlm.nih.gov/pubmed/33362458
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2020.587520
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