Artifact Removal from EEG with a Preprocessing for Preserving Desired Bands

DOI

10.2991/iccasm.2012.280How to use a DOI?

Keywords

Electroencephalogram (EEG), Artifact, Independent component analysis

Abstract

Artifacts such as eye movements, muscle, electrocardiogram (EKG) and line noise may cause severe contamination in Electroencephalogram (EEG). The independent component analysis (ICA) is the general method to remove the artifacts within electroencephalographic traces. Desired bands in specific EEG analysis, however, may be seriously eliminated in the deflation procedure. A preprocessing with extraction of desired bands in the ICA is presented to prevent the desired bands from cancellation in the process of artifact rejection. Thus, the desired bands in EEG can be completely preserved while removing the artifacts. Some real EEG recordings are provided to demonstrate the effectiveness of the proposed method.

Copyright

© 2012, 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  - Ching-Tai Chiang
AU  - Chen-Sen Ouyang
AU  - Rong-Ching Wu
AU  - Lung-Chang Lin
AU  - Rei-Cheng Yang
PY  - 2012/08
DA  - 2012/08
TI  - Artifact Removal from EEG with a Preprocessing for Preserving Desired Bands
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 1103
EP  - 1105
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.280
DO  - 10.2991/iccasm.2012.280
ID  - Chiang2012/08
ER  -