THE ICA APPROACH FOR REMOVAL OF UNDESIRED COMPONENTS FROM EEG DATA

Joanna Górecka

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.

References

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Paper Citation


in Harvard Style

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 - Volume 1: BIOSIGNALS, (BIOSTEC 2009) ISBN 978-989-8111-65-4, pages 539-542. DOI: 10.5220/0001777605390542


in Bibtex Style

@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 - Volume 1: BIOSIGNALS, (BIOSTEC 2009)},
year={2009},
pages={539-542},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001777605390542},
isbn={978-989-8111-65-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009)
TI - THE ICA APPROACH FOR REMOVAL OF UNDESIRED COMPONENTS FROM EEG DATA
SN - 978-989-8111-65-4
AU - Górecka J.
PY - 2009
SP - 539
EP - 542
DO - 10.5220/0001777605390542