Study of the denoising and feature extraction based on eyes-closed EEG signal

DOI

10.2991/icibet.2013.27How to use a DOI?

Abstract

The electroencephalogram (EEG) is a kind of biological signal that represents the activity of the brain which plays a key role in the diagnosis of brain. EEG signal was de-noised using butterworth filter in this paper. Based on analysis of methods of EEG signal processing, we propose to use wavelet transform combined with ICA for EEG feature extraction. The noise is successfully removed and the feature wave of eyes-closed EEG signal is successfully extracted with the new mothed.

Copyright

© 2013, 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  - Nianqiang Li
AU  - Yongling Wang
PY  - 2013/03
DA  - 2013/03
TI  - Study of the denoising and feature extraction based on eyes-closed EEG signal
BT  - Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013)
PB  - Atlantis Press
SP  - 128
EP  - 132
SN  - 1951-6851
UR  - https://doi.org/10.2991/icibet.2013.27
DO  - 10.2991/icibet.2013.27
ID  - Li2013/03
ER  -