Electromagnetic modeling of rat’s brain: comparison of models and solvers
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F19%3A43919736" target="_blank" >RIV/00023752:_____/19:43919736 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21460/18:00329787 RIV/00216305:26220/18:PU129660
Result on the web
<a href="https://ieeexplore.ieee.org/document/8610569" target="_blank" >https://ieeexplore.ieee.org/document/8610569</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CEMI.2018.8610569" target="_blank" >10.1109/CEMI.2018.8610569</a>
Alternative languages
Result language
angličtina
Original language name
Electromagnetic modeling of rat’s brain: comparison of models and solvers
Original language description
Reliable inverse imaging of source currents in rat’s brain requires sufficiently accurate and CPU-time moderate forward models of fields to calibrate inverse solvers. In this paper, we compare different mathematical formulations of electromagnetic problem related to the analysis of brain waves (static, quasi-static, full-wave) and various meshes differing in density, type and geometrical accuracy. Comparison of results indicates the necessary accuracy of the model to calibrate the imaging procedure properly.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
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
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
CEMi 2018 - International Workshop on Computing, Electromagnetics, and Machine Intelligence
ISBN
978-1-5386-7845-9
ISSN
—
e-ISSN
—
Number of pages
2
Pages from-to
31-32
Publisher name
IEEE
Place of publication
Neuvedeno
Event location
Stellenbosch, South Africa
Event date
Nov 21, 2018
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
—