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EEG Signal Classification Using Manifold Learning and Matrix-Variate Gaussian Model
In brain-computer interface (BCI), feature extraction is the key to the accuracy of recognition. There is important local structural information in the EEG signals, which is effective for classification; and this locality of EEG features not only exists in the spatial channel position but also exist...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9071993/ https://www.ncbi.nlm.nih.gov/pubmed/35530739 http://dx.doi.org/10.1155/2021/6668859 |