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Temporal-frequency-phase feature classification using 3D-convolutional neural networks for motor imagery and movement
Recently, convolutional neural networks (CNNs) have been widely applied in brain-computer interface (BCI) based on electroencephalogram (EEG) signals. Due to the subject-specific nature of EEG signal patterns and the multi-dimensionality of EEG features, it is necessary to employ appropriate feature...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10493321/ https://www.ncbi.nlm.nih.gov/pubmed/37700746 http://dx.doi.org/10.3389/fnins.2023.1250991 |