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Clustering the Sources of EEG Activity during Motor Imagery by Attractor Neural Network with Increasing Activity (ANNIA)

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092436" target="_blank" >RIV/61989100:27240/14:86092436 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/14:86092436

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-08156-4_19" target="_blank" >http://dx.doi.org/10.1007/978-3-319-08156-4_19</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-08156-4_19" target="_blank" >10.1007/978-3-319-08156-4_19</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Clustering the Sources of EEG Activity during Motor Imagery by Attractor Neural Network with Increasing Activity (ANNIA)

  • Original language description

    Electrical brain activity in subjects controlling Brain-Computer Interface (BCI) based on motor imagery is studied. A used data set contains 7440 observations corresponding to distributions of electrical potential at the head surface obtained by Independent Component Analysis of 155 48-channel EEG recordings over 16 subjects. The distributions are interpreted as produced by the current dipolar sources inside the head. To reveal the sources of electrical brain activity the most typical for motor imagery,the corresponding ICA components were clustered by Attractor Neural Network with Increasing Activity (ANNIA). ANNIA was already successfully applied to clustering textual documents and genome data. Among the expected clusters of components (blinks and mu-rhythm ERD) the ones reflecting the frontal and occipital cortex activity were also extracted. Although the cluster analysis can not substitute careful data examination and interpretation however it is a useful pre-processing step which

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Advances in Intelligent Systems and Computing. Volume 237

  • ISBN

    978-3-319-01780-8

  • ISSN

    2194-5357

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    183-191

  • Publisher name

    Springer

  • Place of publication

    Basel

  • Event location

    Ostrava

  • Event date

    Aug 22, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article