Extracting Impact Characteristics of Sports Training on EEG by Genetic Algorithm

摘要

It has been proved that it's helpful to improve brain electrical activity mode through effective exercise training. According to Gardner's multiple intelligences theory, after a long period of professional training, college students of different specialties may also have intellectual independence and EEG specificity. In this study, the author chose motor imagery EEG of college students specialized in mathematical logic and sports education as the experimental data, and used Genetic Algorithm and BP neural network for EEG feature selection and pattern classification, in order to find impact characteristics of long-term exercise training on EEG. The experiment results showed there were significantly difference between these two specialties on the change of fi and he band power in the left prefrontal area, the right parietal, the left middle temporal lobe and the right middle temporal lobe in the process of motor imagery tasks. Among these, the left and the right middle temporal lobe and he wave have the greatest impact.