A Study of the Effects of Electrode Number and Decoding Algorithm on Online EEG-Based BCI Behavioral Performance

Motor imagery–based brain–computer interface (BCI) using electroencephalography (EEG) has demonstrated promising applications by directly decoding users' movement related mental intention. The selection of control signals, e.g., the channel configuration and decoding algorithm, plays a vital ro...

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Detalles Bibliográficos
Autores principales: Meng, Jianjun, Edelman, Bradley J., Olsoe, Jaron, Jacobs, Gabriel, Zhang, Shuying, Beyko, Angeliki, He, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5897442/
https://www.ncbi.nlm.nih.gov/pubmed/29681792
http://dx.doi.org/10.3389/fnins.2018.00227

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5897442/
https://www.ncbi.nlm.nih.gov/pubmed/29681792
http://dx.doi.org/10.3389/fnins.2018.00227

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