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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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| Pubblicato in: | Front Neurosci |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2020
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| Soggetti: | |
| Accesso online: | 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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