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).