Z-Score Linear Discriminant Analysis for EEG Based Brain-Computer Interfaces

Linear discriminant analysis (LDA) is one of the most popular classification algorithms for brain-computer interfaces (BCI). LDA assumes Gaussian distribution of the data, with equal covariance matrices for the concerned classes, however, the assumption is not usually held in actual BCI applications...

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Detalles Bibliográficos
Autores principales: Zhang, Rui, Xu, Peng, Guo, Lanjin, Zhang, Yangsong, Li, Peiyang, Yao, Dezhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3772882/
https://www.ncbi.nlm.nih.gov/pubmed/24058565
http://dx.doi.org/10.1371/journal.pone.0074433

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3772882/
https://www.ncbi.nlm.nih.gov/pubmed/24058565
http://dx.doi.org/10.1371/journal.pone.0074433

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