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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Veröffentlicht in:	Frontiers in neuroscience Jg. 12; S. 227
Hauptverfasser:	Meng, Jianjun, Edelman, Bradley J., Olsoe, Jaron, Jacobs, Gabriel, Zhang, Shuying, Beyko, Angeliki, He, Bin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland Frontiers Research Foundation 06.04.2018 Frontiers Media S.A
Schlagworte:	Algorithms BCI Biomedical engineering Brain channel configuration Computer applications CSP EEG electrode number Electrodes Electroencephalography Emulation Implants Internet Learning Mental task performance Motor task performance Neuroscience Robotics Signal processing Stroke Studies Minneapolis Minnesota United States > US CSP BCI channel configuration EEG electrode number
ISSN:	1662-453X, 1662-4548, 1662-453X
Online-Zugang:	Volltext
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