Motor imagery EEG task recognition using a nonlinear Granger causality feature extraction and an improved Salp swarm feature selection

•Brain network features were extracted by a Granger causal analysis.•Brain functional connectivity contributes to improving MI task classification.•An effective swarm optimization algorithm are used for feature selection. In the study of motor imagery (MI) brain-computer interfaces (BCIs), how to im...

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Vydané v:	Biomedical signal processing and control Ročník 88; s. 105626
Hlavní autori:	Lin, Ruijing, Dong, Chaoyi, Zhou, Peng, Ma, Pengfei, Ma, Shuang, Chen, Xiaoyan, Liu, Huanzi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.02.2024
Predmet:	Feature selection Granger Causality analysis Motor imagery Salp Swarm algorithm Smart swarm optimization Feature selection Motor imagery Granger Causality analysis Salp Swarm algorithm Smart swarm optimization
ISSN:	1746-8094, 1746-8108
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