Detail výsledku

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

KUŘÁTKO, D.; RAIDA, Z. Anisotropic Forward Modeling of Electroencephalogram in MATLAB - CST Studio Suite Interface. In PROCEEDINGS OF THE 28TH STUDENT EEICT 2022 General Papers. 1. Brno: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2022. p. 427-431. ISBN: 978-80-214-6029-4.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Kuřátko David, Ing.
Raida Zbyněk, prof. Dr. Ing., UREL (FEKT)
Abstrakt

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.

Klíčová slova

Forward model, rat brain, CST Studio Suite, anisotropic tissue

URL
Rok
2022
Strany
427–431
Sborník
PROCEEDINGS OF THE 28TH STUDENT EEICT 2022 General Papers
Řada
1
Konference
STUDENT EEICT 2022
ISBN
978-80-214-6029-4
Vydavatel
Brno University of Technology, Faculty of Electrical Engineering and Communication
Místo
Brno
EID Scopus
BibTeX
@inproceedings{BUT179358,
  author="David {Kuřátko} and Zbyněk {Raida}",
  title="Anisotropic Forward Modeling of Electroencephalogram in MATLAB - CST Studio Suite Interface",
  booktitle="PROCEEDINGS OF THE 28TH STUDENT EEICT 2022 General Papers",
  year="2022",
  series="1",
  pages="427--431",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno",
  isbn="978-80-214-6029-4",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_1_v2.pdf"
}
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