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A Dynamic Multi-Scale Network for EEG Signal Classification
Accurate and automatic classification of the speech imagery electroencephalography (EEG) signals from a Brain-Computer Interface (BCI) system is highly demanded in clinical diagnosis. The key factor in designing an automatic classification system is to extract essential features from the original in...
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| Опубликовано в: : | Front Neurosci |
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| Главные авторы: | , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Frontiers Media S.A.
2021
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7838674/ https://ncbi.nlm.nih.gov/pubmed/33519352 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2020.578255 |
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