Adaptive binary multi-objective harmony search algorithm for channel selection and cross-subject generalization in motor imagery-based BCI

Objective.Multi-channel electroencephalogram data containing redundant information and noise may result in low classification accuracy and high computational complexity, which limits the practicality of motor imagery (MI)-based brain-computer interface (BCI) systems. Therefore, channel selection can...

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Bibliographic Details

Published in:	Journal of neural engineering Vol. 19; no. 4
Main Authors:	Shi, Bin, Yue, Zan, Yin, Shuai, Wang, Weizhen, Yu, Haoyong, Huang, Zhen, Wang, Jing
Format:	Journal Article
Language:	English
Published:	IOP Publishing 01.08.2022
Subjects:	brain-computer interface channel selection electroencephalogram (EEG) motor imagery (MI) multi-objective algorithm
ISSN:	1741-2560, 1741-2552, 1741-2552
Online Access:	Get full text
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