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Anisotropic Forward Modeling of Electroencephalogram in MATLAB - CST Studio Suite Interface

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F22%3APU145762" target="_blank" >RIV/00216305:26220/22:PU145762 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_1_v2.pdf" target="_blank" >https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_1_v2.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Anisotropic Forward Modeling of Electroencephalogram in MATLAB - CST Studio Suite Interface

  • Original language description

    A forward model of an electroencephalogram (EEG) is a necessary part of an EEG source analysis and plays a crucial role in accuracy of brain waves localization. The paper is aimed to exploit CST Studio Suite (CST) for an anisotropic forward model computation. Since the CST computes electric field intensity only, the line integration is used for the recalculation to the electric potential in MATLAB. The integration method and the accuracy of CST are validated by two software tools, and the comparison shows consistent electric potentials. Finally, the simplified anisotropic rat brain models are developed and simulated. Nevertheless, the anisotropic models compared with isotropic one show a rather weak effect on computed electric potentials.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    PROCEEDINGS OF THE 28TH STUDENT EEICT 2022 General Papers

  • ISBN

    978-80-214-6029-4

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    427-431

  • Publisher name

    Brno University of Technology, Faculty of Electrical Engineering and Communication

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Apr 26, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article