The event-related potential data processing using ART 2 network

The event-related potentials (ERPs) obtained by stimulation are much weaker than the continuous electro-encephalographic (EEG) signal. Therefore, the correct signal analysis is vital to detect the stimulation-driven signal components. This paper proposes the combination of matching pursuit for featu...

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Bibliographic Details
Published in2012 5th International Conference on Biomedical Engineering and Informatics pp. 605 - 609
Main Authors Vareka, Lukas, Mautner, Pavel
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2012
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Summary:The event-related potentials (ERPs) obtained by stimulation are much weaker than the continuous electro-encephalographic (EEG) signal. Therefore, the correct signal analysis is vital to detect the stimulation-driven signal components. This paper proposes the combination of matching pursuit for feature extraction and ART 2 neural network for clustering. Then, clusters are filtered and interpreted according to their statistical properties as ERP components or noise. The suggested method can be used to filter the EEG/ERP signal. Furthermore, its results lead to a method that improves averaging when compared to traditional approaches.
ISBN:9781467311830
1467311839
DOI:10.1109/BMEI.2012.6513044