Improving single-hand open/close motor imagery classification by error-related potentials correction

Improving single-hand open/close motor imagery classification by error-related potentials correction

Objective: The ability of a brain-computer interface (BCI) to classify brain activity in electroencephalograms (EEG) during motor imagery (MI) tasks is an important performance indicator. Because the cortical regions that drive the single-handed open and closed tasks overlap, it is difficult to clas...

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Bibliographic Details
Main Authors: Yanghao Lei, Dong Wang, Weizhen Wang, Hao Qu, Jing Wang, Bin Shi
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:Heliyon
Subjects:
Brain computer interface
Motor imagery
Error-related potentials
Electroencephalogram
Correction strategy
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023056608

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http://www.sciencedirect.com/science/article/pii/S2405844023056608

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