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

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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Bibliographic Details
Main Authors: Jianjun Meng, Bradley J. Edelman, Jaron Olsoe, Gabriel Jacobs, Shuying Zhang, Angeliki Beyko, Bin He
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-04-01
Series:Frontiers in Neuroscience
Subjects:
BCI
EEG
electrode number
CSP
channel configuration
Online Access:http://journal.frontiersin.org/article/10.3389/fnins.2018.00227/full

Internet

http://journal.frontiersin.org/article/10.3389/fnins.2018.00227/full

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