IEEE - Institute of Electrical and Electronics Engineers, Inc. - simBCI - A framework for studying BCI methods by simulated EEG

Author(s): Jussi T. Lindgren ; Adrien Merlini ; Anatole Lecuyer ; Francesco P. Andriulli
Sponsor(s): IEEE Engineering In Medicine and Biology Society
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Volume: PP
Page(s): 1
ISSN (Electronic): 1558-0210
ISSN (Paper): 1534-4320
DOI: 10.1109/TNSRE.2018.2873061
Regular:

Brain-Computer Interface (BCI) methods are commonly studied using Electroencephalogram (EEG) data recorded from human experiments. For understanding and developing BCI signal processing... View More

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