Explore interregional EEG correlations changed by sport training using feature selection
Article
Article Title | Explore interregional EEG correlations changed by sport training using feature selection |
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ERA Journal ID | 14562 |
Article Category | Article |
Authors | Gao, Jia (Author), Wang, Wei (Author) and Zhang, Ji (Author) |
Journal Title | Computational Intelligence and Neuroscience |
Journal Citation | 2016 |
Number of Pages | 10 |
Year | 2016 |
Publisher | Hindawi Publishing Corporation |
Place of Publication | New York, NY. United States |
ISSN | 1687-5265 |
1687-5273 | |
Digital Object Identifier (DOI) | https://doi.org/10.1155/2016/6184823 |
Abstract | This paper investigated the interregional correlation changed by sport training through electroencephalography (EEG) signals using the techniques of classification and feature selection.The EEG data are obtained from students with long-time professional sport training and normal students without sport training as baseline. Every channel of the 19-channel EEG signals is considered as a |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
461305. Data structures and algorithms | |
Public Notes | Copyright © 2016 Jia Gao et al. This is an open access article distributed under the Creative Commons Attribution 4.0 License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Byline Affiliations | Nanjing Normal University, China |
School of Agricultural, Computational and Environmental Sciences | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q3461/explore-interregional-eeg-correlations-changed-by-sport-training-using-feature-selection
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