Result Details

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.
Type
conference paper
Language
English
Authors
Kuřátko David, Ing.
Raida Zbyněk, prof. Dr. Ing., UREL (FEEC)
Abstract

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.

Keywords

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

URL
Published
2022
Pages
427–431
Proceedings
PROCEEDINGS OF THE 28TH STUDENT EEICT 2022 General Papers
Series
1
Conference
STUDENT EEICT 2022
ISBN
978-80-214-6029-4
Publisher
Brno University of Technology, Faculty of Electrical Engineering and Communication
Place
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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