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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

  • DOI - Digital Object Identifier

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • 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

  • e-ISSN

  • 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