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...

Celý popis

Podrobná bibliografia

Vydané v:	Journal of neural engineering Ročník 19; číslo 4
Hlavní autori:	Shi, Bin, Yue, Zan, Yin, Shuai, Wang, Weizhen, Yu, Haoyong, Huang, Zhen, Wang, Jing
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IOP Publishing 01.08.2022
Predmet:	brain-computer interface channel selection electroencephalogram (EEG) motor imagery (MI) multi-objective algorithm
ISSN:	1741-2560, 1741-2552, 1741-2552
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!