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

CPX leveraging spontaneous EEG signals and CFC features significantly improves classification accuracy. We anticipate this methodology will be a robust and practical solution in BCI applications, providing better brain-to-device communication with low-channel utilization and considerable performance metrics.

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Publication Details

Journal
Medical Engineering & Physics
Published
2025-04-07
DOI
https://doi.org/10.1016/j.medengphy.2025.104392
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
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article

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

Haoyue Li, Xiao Xiao
1 links
Medical Engineering & Physics
EEG and Brain-Computer Interfaces
article

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

Haoyue Li, Xiao Xiao
article en

Abstract

CPX leveraging spontaneous EEG signals and CFC features significantly improves classification accuracy. We anticipate this methodology will be a robust and practical solution in BCI applications, providing better brain-to-device communication with low-channel utilization and considerable performance metrics.

Medical Engineering & PhysicsVol. 143(1)
Second People Hospital of Hunan (CN)
Affordable and clean energy
Openalex Percentile: Top 85%
EEG and Brain-Computer Interfaces
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