Feature Selection and Classification of EEG Finger Movement Based on Genetic Algorithm

Abstract

Electroencephalography (EEG) classification for mental tasks is the crucial part of the brain-computer interface. Many studies try to extract discriminative features from EEG signals. In this study, feature selection algorithm based on genetic algorithm (