Validating Deep Neural Networks for Online Decoding of Motor Imagery Movements from EEG Signals

Non-invasive, electroencephalography (EEG)-based brain-computer interfaces (BCIs) on motor imagery movements translate the subject’s motor intention into control signals through classifying the EEG patterns caused by different imagination tasks, e.g., hand movements. This type of BCI has been widely...

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Detalles Bibliográficos
Autores principales: Tayeb, Zied, Fedjaev, Juri, Ghaboosi, Nejla, Richter, Christoph, Everding, Lukas, Qu, Xingwei, Wu, Yingyu, Cheng, Gordon, Conradt, Jörg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6338892/
https://www.ncbi.nlm.nih.gov/pubmed/30626132
http://dx.doi.org/10.3390/s19010210

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6338892/
https://www.ncbi.nlm.nih.gov/pubmed/30626132
http://dx.doi.org/10.3390/s19010210

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