Improving brain-computer interface performance with optimized frequency interaction and enhancement techniques: CFC-PSO-XGBoost (CPX)

•Leveraged Cross-Frequency Coupling (CFC) for enhanced MI-BCI classification.•Phase-Amplitude Coupling (PAC) extracted CFC features from spontaneous EEG.•Particle Swarm Optimization (PSO) optimized channel selection for classification.•Achieved 76.7 % accuracy, outperforming traditional MI-BCI metho...

Full description

Saved in:

Bibliographic Details
Published in:	Medical engineering & physics Vol. 143; p. 104392
Main Authors:	Xiao, Xiao, Li, Haoyue
Format:	Journal Article
Language:	English
Published:	England Elsevier Ltd 01.09.2025
Subjects:	Adult Boosting Machine Learning Algorithms Brain-computer interface Brain-Computer Interfaces Cross-frequency coupling Electroencephalography Female Humans Imagination Male Motor imagery Phase-Amplitude Coupling, Particle Swarm Optimization Signal Processing, Computer-Assisted Young Adult Brain-computer interface Cross-frequency coupling Motor imagery Phase-Amplitude Coupling, Particle Swarm Optimization
ISSN:	1350-4533, 1873-4030, 1873-4030
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!