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To confirm that visual training can change EEG patterns by association rule mining method, firstly, we collected the EEG of people who are under a long-term visual professional training (visual training group) and novice people (control group) during a specific mental tasks. Secondly, we determined the difference of brain electrical activity between the two groups using machine learning methods. Thirdly,...
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 this paper, a novel method based on Hilbert-Huang Transform (HHT) and backpropagation (BP) neural network is proposed to perform automatic sleep stages classification. Features extracted from 30-second epoch of EEG using HHT are good representations of EEG signal. A three-layer BP neural network is employed to classify these features to one appropriate stage. For a four-stage classification, consisting...
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