Clustering of Gabor Atoms Describing Event-Related Potentials - Solution for ERP Detection Algorithm based on Matching Pursuit when ERP Waveform is Approximated by Two or More Gabor Atoms

Tomas Rondik, Pavel Mautner

Abstract

In our research group, we also focus on methods for automatic detection of event-related potentials in the EEG signal. We published the algorithm for event-related potential detection based on the matching pursuit algorithm in one of our previous papers. As usual, this method does not work well under special circumstances which can occur (it is a situation when the waveform of event-related potential is approximated by more than one function from the matching pursuit base functions dictionary). This paper introduces solution of this issue which is based on the self-organizing map and the connected-component labeling algorithm (it allows to group the functions related to a one kind of event-related potential to a cluster - this should prevent the detection algorithm based on matching pursuit from the fault described above).

References

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Paper Citation


in Harvard Style

Rondik T. and Mautner P. (2013). Clustering of Gabor Atoms Describing Event-Related Potentials - Solution for ERP Detection Algorithm based on Matching Pursuit when ERP Waveform is Approximated by Two or More Gabor Atoms . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2013) ISBN 978-989-8565-37-2, pages 309-314. DOI: 10.5220/0004189203090314


in Bibtex Style

@conference{healthinf13,
author={Tomas Rondik and Pavel Mautner},
title={Clustering of Gabor Atoms Describing Event-Related Potentials - Solution for ERP Detection Algorithm based on Matching Pursuit when ERP Waveform is Approximated by Two or More Gabor Atoms},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2013)},
year={2013},
pages={309-314},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004189203090314},
isbn={978-989-8565-37-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2013)
TI - Clustering of Gabor Atoms Describing Event-Related Potentials - Solution for ERP Detection Algorithm based on Matching Pursuit when ERP Waveform is Approximated by Two or More Gabor Atoms
SN - 978-989-8565-37-2
AU - Rondik T.
AU - Mautner P.
PY - 2013
SP - 309
EP - 314
DO - 10.5220/0004189203090314