A Parallel Multiscale Filter Bank Convolutional Neural Networks for Motor Imagery EEG Classification

OBJECTIVE: Electroencephalogram (EEG) based brain–computer interfaces (BCI) in motor imagery (MI) have developed rapidly in recent years. A reliable feature extraction method is essential because of a low signal-to-noise ratio (SNR) and time-dependent covariates of EEG signals. Because of efficient...

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Publicado en:Front Neurosci
Autores principales: Wu, Hao, Niu, Yi, Li, Fu, Li, Yuchen, Fu, Boxun, Shi, Guangming, Dong, Minghao
Formato: Artigo
Lenguaje:Inglês
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC6901997/
https://ncbi.nlm.nih.gov/pubmed/31849587
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2019.01275
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