EEG Feature Extraction based on Rough Set

DOI

10.2991/meici-15.2015.220How to use a DOI?

Keywords

Feature extraction; Rough set; Electroencephalograph (EEG) signal

Abstract

Rough set theory has been successfully utilized in a variety of information mining fields. Since the EEG found that many researchers to study the biological signals in electrical brain research, the EEG feature extraction algorithm is a major research content. In this paper, rough set theory is taken as a research tool, EEG feature extraction, through 30 subjects collected EEG analysis, collect the EEG applied to the identification, the results show that rough set of feature extraction method can achieve identification.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhendong Mu
PY  - 2015/06
DA  - 2015/06
TI  - EEG Feature Extraction based on Rough Set
BT  - Proceedings of the 2015 International Conference on Management, Education, Information and Control
PB  - Atlantis Press
SP  - 1246
EP  - 1249
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-15.2015.220
DO  - 10.2991/meici-15.2015.220
ID  - Mu2015/06
ER  -