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...

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Detalles Bibliográficos
Autores principales: Zhu, Lei, Hu, Qifeng, Yang, Junting, Zhang, Jianhai, Xu, Ping, Ying, Nanjiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
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

Internet

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

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