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An Incremental Version of L-MVU for the Feature Extraction of MI-EEG

Due to the nonlinear and high-dimensional characteristics of motor imagery electroencephalography (MI-EEG), it can be challenging to get high online accuracy. As a nonlinear dimension reduction method, landmark maximum variance unfolding (L-MVU) can completely retain the nonlinear features of MI-EEG...

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Detalles Bibliográficos
Autores principales:	Li, Mingai, Xi, Hongwei, Zhu, Xiaoqing
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2019
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6525943/ https://www.ncbi.nlm.nih.gov/pubmed/31191631 http://dx.doi.org/10.1155/2019/4317078

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