Decoding Imagined 3D Hand Movement Trajectories From EEG: Evidence to Support the Use of Mu, Beta, and Low Gamma Oscillations

Decoding Imagined 3D Hand Movement Trajectories From EEG: Evidence to Support the Use of Mu, Beta, and Low Gamma Oscillations

Objective: To date, motion trajectory prediction (MTP) of a limb from non-invasive electroencephalography (EEG) has relied, primarily, on band-pass filtered samples of EEG potentials i.e., the potential time-series model. Most MTP studies involve decoding 2D and 3D arm movements i.e., executed arm m...

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Bibliographic Details
Main Authors: Attila Korik, Ronen Sosnik, Nazmul Siddique, Damien Coyle
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-03-01
Series:Frontiers in Neuroscience
Subjects:
brain-computer interface
motor imagery
imagined arm movement
motion trajectory prediction
electroencephalography
Online Access:http://journal.frontiersin.org/article/10.3389/fnins.2018.00130/full

Internet

http://journal.frontiersin.org/article/10.3389/fnins.2018.00130/full

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