A linearly extendible multi-artifact removal approach for improved upper extremity EEG-based motor imagery decoding.

Mojisola Grace AsogbonOluwarotimi Williams SamuelXiangxin LiEjay NsugbeErik SchemeGuanglin Li

Published in: Journal of neural engineering (2021)

Given its improved performance, reduced data requirements, and feasibility with few channels, the proposed GEVD-MWF could potentially spur the development of effective real-time control strategies for multi-degree of freedom EEG-based miniaturized rehabilitation robotic interfaces.

Keyphrases

functional connectivity
resting state
working memory
electronic health record
minimally invasive
big data
magnetic resonance imaging
computed tomography
deep learning