Detection of Relevance between Long-Term Different Professional Training and Brain Development Using EEG
To analyse the effects of long-term different professional training on brain development. First, EEG singals of 12 students are collected under thinking different mental tasks, after long-term different professional training. Second, to use DFT to extract frequency features and then use BP network and 10-fold cross validation to classify. The classification accuracy can amount to 90 percent around. The result indicates that EEG signals can change specially under special mental tasks, after long-term different professional training. It can reflect the different brain development patterns after different professional training directly.
L. L. Fan and W. Wang, "Detection of Relevance between Long-Term Different Professional Training and Brain Development Using EEG", Advanced Materials Research, Vols. 179-180, pp. 886-890, 2011