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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Vydané v:	IEEE sensors journal Ročník 23; číslo 20; s. 25356 - 25366
Hlavní autori:	Lee, Hsiang-Chen, Lee, Ching-Hung
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 15.10.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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