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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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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6162908/ https://ncbi.nlm.nih.gov/pubmed/30268089 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2365-1 |
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