An adaptive multi-domain feature joint optimization framework based on composite kernels and ant colony optimization for motor imagery EEG classification.

Minmin Miao,Wenbin Zhang,Wenjun Hu,Ruiqin Wang

Biomedical Signal Processing and Control（2020）

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摘要

•We focus on feature optimization of motor imagery EEG in BCI filed.•The significances of spatial channels are measured by random forest (RF) algorithm.•Temporal-frequency feature patterns are investigated via composite kernel learning.•Ant colony optimization (ACO) algorithm is applied for searching the best parameters.•Optimize spatial-temporal-frequency patterns comprehensively and simultaneously.

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关键词

Brain computer interface,Motor imagery,Random forest,Composite kernel support vector machine,Ant colony optimization

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