The Event-Related Potential Data Processing Using ART 2 Network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F12%3A43916201" target="_blank" >RIV/49777513:23520/12:43916201 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The Event-Related Potential Data Processing Using ART 2 Network
Original language description
The event-related potentials (ERPs) obtained by stimulation are much weaker than the continuous electroencephalographic(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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
BMEI 2012
ISBN
978-1-4673-1182-3
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
467-471
Publisher name
IEEE
Place of publication
Los Alamitos
Event location
Chongqing Čína
Event date
Oct 16, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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