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An Intelligent EEG Classification Methodology Based on Sparse Representation Enhanced Deep Learning Networks
The classification of electroencephalogram (EEG) signals is of significant importance in brain–computer interface (BCI) systems. Aiming to achieve intelligent classification of EEG types with high accuracy, a classification methodology using sparse representation (SR) and fast compression residual c...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596898/ https://www.ncbi.nlm.nih.gov/pubmed/33177970 http://dx.doi.org/10.3389/fnins.2020.00808 |