Regularized RKHS-Based Subspace Learning for Motor Imagery Classification

Brain–computer interface (BCI) technology allows people with disabilities to communicate with the physical environment. One of the most promising signals is the non-invasive electroencephalogram (EEG) signal. However, due to the non-stationary nature of EEGs, a subject’s signal may change over time,...

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Detalles Bibliográficos
Autores principales: Jiang, Linzhi, Liu, Shuyu, Ma, Zhengming, Lei, Wenjie, Chen, Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870989/
https://www.ncbi.nlm.nih.gov/pubmed/35205490
http://dx.doi.org/10.3390/e24020195

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870989/
https://www.ncbi.nlm.nih.gov/pubmed/35205490
http://dx.doi.org/10.3390/e24020195

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