THE ICA APPROACH FOR REMOVAL OF UNDESIRED COMPONENTS FROM EEG DATA

Joanna Górecka

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Paper

THE ICA APPROACH FOR REMOVAL OF UNDESIRED COMPONENTS FROM EEG DATA

Topics: Medical Signal Acquisition, Analysis and Processing

In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 0BIOSTEC, 539-542, 2009 , Porto, Portugal

Author: Joanna Górecka

Affiliation: Technical University of Szczecin, Poland

Keyword(s): Independent Component Analysis, Blind Signal Separation, EEG data, Artifacts.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Medical Image Detection, Acquisition, Analysis and Processing

Abstract: The aim of this results of research is to detect and remove selected undesired signals by means of ICA approach. In this paper have been presented the following algorithms BSS: HJ, Infomax and FastICA for separation and removal of selected group of artifacts (eye blinks, muscle activity) from EEG recordings. As it has been proven in experiments, the proposed algorithms can effectively detect and remove these artifacts from EEG recordings.

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Paper citation in several formats:

Górecka, J. (2009). THE ICA APPROACH FOR REMOVAL OF UNDESIRED COMPONENTS FROM EEG DATA. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2009) - BIOSIGNALS; ISBN 978-989-8111-65-4; ISSN 2184-4305, SciTePress, pages 539-542. DOI: 10.5220/0001777605390542

@conference{biosignals09,
author={Joanna Górecka.},
title={THE ICA APPROACH FOR REMOVAL OF UNDESIRED COMPONENTS FROM EEG DATA},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2009) - BIOSIGNALS},
year={2009},
pages={539-542},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001777605390542},
isbn={978-989-8111-65-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2009) - BIOSIGNALS
TI - THE ICA APPROACH FOR REMOVAL OF UNDESIRED COMPONENTS FROM EEG DATA
SN - 978-989-8111-65-4
IS - 2184-4305
AU - Górecka, J.
PY - 2009
SP - 539
EP - 542
DO - 10.5220/0001777605390542
PB - SciTePress