Generalized Optimal EEG Channels Selection for Motor Imagery Brain-Computer Interface

Brain-computer interfaces (BCI) enable people to communicate with external instruments through brain activity recorded by electroencephalography (EEG). BCI based on motor imagery (MI) can distinguish activation of specific brain regions by decoding EEG signals and then applying them to different sit...

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Veröffentlicht in:	IEEE sensors journal Jg. 23; H. 20; S. 25356 - 25366
Hauptverfasser:	Lee, Hsiang-Chen, Lee, Ching-Hung
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 15.10.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Brain modeling Channel selection Channels Classification Datasets deep learning EEG-Net Electric potential Electrodes Electroencephalography electroencephalography (EEG) Feature extraction generalized optimal EEG channels Genetic algorithms Human-computer interface Imagery lateralized readiness potential (LRP) motor imagery (MI) non-dominated sorting genetic algorithm (NSGA)-II algorithm optimization Sensors Sorting algorithms Task analysis
ISSN:	1530-437X, 1558-1748
Online-Zugang:	Volltext
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