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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-...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915824/ https://www.ncbi.nlm.nih.gov/pubmed/33562623 http://dx.doi.org/10.3390/brainsci11020197 |