An Influence of Physical Electrode Models in Rat’s Head Forward Modelling
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F19%3APU132617" target="_blank" >RIV/00216305:26220/19:PU132617 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
An Influence of Physical Electrode Models in Rat’s Head Forward Modelling
Original language description
Reliable inverse imaging of source currents in rat’s brain requires moderate models of fields to calibrate inverse solvers. The article is focused on the comparison of measured potentials on rat’s brain surface with and without physical electrode models. For the simulation purpose, the 3D models of the brain, the cerebrospinal fluid, and the skull were developed from magnetic reso-nance images (MRI). Moreover, the pink noise was added to measured potentials to obtain more realistic results. Simulations showed higher values of potentials when physical electrode models were considered. Fortunately, the presence of electrode models does not influence the potential waveform. Therefore, the inclusion of electrode models to forward modelling can contribute to the increase of accuracy of an inverse solver, and thus the localization of current sources in rat’s brain.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
<a href="/en/project/LO1401" target="_blank" >LO1401: Interdisciplinary Research of Wireless Technologies</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
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 25th Conference STUDENT EEICT 2019
ISBN
978-80-214-5735-5
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
432-436
Publisher name
Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Place of publication
Brno
Event location
Brno
Event date
Apr 25, 2019
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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