Exploring spatial-frequency-sequential relationships for motor imagery classification with recurrent neural network

BACKGROUND: Conventional methods of motor imagery brain computer interfaces (MI-BCIs) suffer from the limited number of samples and simplified features, so as to produce poor performances with spatial-frequency features and shallow classifiers. METHODS: Alternatively, this paper applies a deep recur...

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Detalles Bibliográficos
Autores principales: Luo, Tian-jian, Zhou, Chang-le, Chao, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6162908/
https://www.ncbi.nlm.nih.gov/pubmed/30268089
http://dx.doi.org/10.1186/s12859-018-2365-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6162908/
https://www.ncbi.nlm.nih.gov/pubmed/30268089
http://dx.doi.org/10.1186/s12859-018-2365-1

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