Similarity Feature Extraction of EEG

DOI

10.2991/meici-15.2015.221How to use a DOI?

Keywords

Feature extraction; Similarity; Electroencephalograph (EEG) signal

Abstract

With the development of information technology nowadays, the analysis of mass data with time features has become possible. EEG feature extraction method is a key element of EEG research, this paper defines a method similarity of feature extraction. Five subjects are used to verify identification studies, which shows that the similarity method can extract to EEG features the subject. The analysis result of 400 collected EEG signals of the same mode shows that the similarity among features of the 400 samples is up to 80%.

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  - Similarity Feature Extraction of EEG
BT  - Proceedings of the 2015 International Conference on Management, Education, Information and Control
PB  - Atlantis Press
SP  - 1250
EP  - 1253
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-15.2015.221
DO  - 10.2991/meici-15.2015.221
ID  - Mu2015/06
ER  -