Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)

Artifact Removal from EEG with a Preprocessing for Preserving Desired Bands

Authors
Ching-Tai Chiang, Chen-Sen Ouyang, Rong-Ching Wu, Lung-Chang Lin, Rei-Cheng Yang
Corresponding Author
Ching-Tai Chiang
Available Online August 2012.
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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Volume Title
Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
Series
Advances in Intelligent Systems Research
Publication Date
August 2012
ISBN
10.2991/iccasm.2012.280
ISSN
1951-6851
DOI
10.2991/iccasm.2012.280How to use a DOI?
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/).

Cite this article

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  -