loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Tomas Rondik and Pavel Mautner

Affiliation: University of West Bohemia, Czech Republic

Keyword(s): SOM, Self-organizing Map, Kohonen Neural Network, ANN, Artificial Neural Network, Clustering, MP, Matching Pursuit Algorithm, Gabor Atoms, CCL, Connected-Component Labeling, ERP, Event-Related Potential, P3 Component, EEG, Electroencephalography.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Cognitive Informatics ; Health Information Systems ; Pattern Recognition and Machine Learning

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).

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.222.169.36

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 (BIOSTEC 2013) - HEALTHINF; ISBN 978-989-8565-37-2; ISSN 2184-4305, SciTePress, pages 309-314. DOI: 10.5220/0004189203090314

@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 (BIOSTEC 2013) - HEALTHINF},
year={2013},
pages={309-314},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004189203090314},
isbn={978-989-8565-37-2},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics (BIOSTEC 2013) - HEALTHINF
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
IS - 2184-4305
AU - Rondik, T.
AU - Mautner, P.
PY - 2013
SP - 309
EP - 314
DO - 10.5220/0004189203090314
PB - SciTePress