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A Densely Connected Multi-Branch 3D Convolutional Neural Network for Motor Imagery EEG Decoding
Motor imagery (MI) is a classical method of brain–computer interaction (BCI), in which electroencephalogram (EEG) signal features evoked by imaginary body movements are recognized, and relevant information is extracted. Recently, various deep-learning methods are being focused on in finding an easy-...
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| 出版年: | Brain Sci |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI
2021
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7915824/ https://ncbi.nlm.nih.gov/pubmed/33562623 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/brainsci11020197 |
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