Decoding Imagined 3D Arm Movement Trajectories From EEG to Control Two Virtual Arms—A Pilot Study

Decoding Imagined 3D Arm Movement Trajectories From EEG to Control Two Virtual Arms—A Pilot Study

Background: Realization of online control of an artificial or virtual arm using information decoded from EEG normally occurs by classifying different activation states or voluntary modulation of the sensorimotor activity linked to different overt actions of the subject. However, using a more natural...

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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. 2019-11-01
Series:Frontiers in Neurorobotics
Subjects:
brain-computer interface (BCI)
imagined 3D arm movements
online motion trajectory prediction
multiple linear regression (mLR)
filter-bank common spatial Patterns (FBCSP)
electroencephalography
Online Access:https://www.frontiersin.org/article/10.3389/fnbot.2019.00094/full

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https://www.frontiersin.org/article/10.3389/fnbot.2019.00094/full

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