3D barycentric interpolation method for animal brainmapping
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F19%3A43920422" target="_blank" >RIV/00023752:_____/19:43920422 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21460/19:00337047
Result on the web
<a href="https://ieeexplore.ieee.org/document/8969996" target="_blank" >https://ieeexplore.ieee.org/document/8969996</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EHB47216.2019.8969996" target="_blank" >10.1109/EHB47216.2019.8969996</a>
Alternative languages
Result language
angličtina
Original language name
3D barycentric interpolation method for animal brainmapping
Original language description
The evaluation of electroencephalographic (EEG) signals is very crucial for human studies. Mostly there are animal recordings of EEG used for further research as well. One of the often used quantitative EEG methods for EEG analysis is topographical mapping. The barycentric interpolation method for 3D animal brain-mapping was implemented and tested. The 3D spline and spherical spline interpolation methods were used for comparison purpose. The surrogate data and real EEG recording were used for the interpolation methods testing. The Root Mean Square Error (RMSE) and significant probability mapping via Fisher non-parametric permutation test were used for evaluation. The RMSE of surrogate data was 0.070 for 3D spline, 0.594 for spherical spline and 0.321 for 3D barycentric interpolation method. The RMSE of the real EEG recordings nearby the electrodes was 0.1848 for 3D spline, 1.1027 for spherical spline and 0.0001 for 3D barycentric interpolation method. The 3D barycentric method differs from the 3D spline interpolation method in the large area on 0.001 alpha level based on significant probability mapping. The non-significant parts are only in the nearby electrode area. The 3D spline interpolation method gives the best results based on RMSE and significant probability testing.
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
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
2019 7th E-Health and Bioengineering Conference, EHB 2019
ISBN
978-1-72812-603-6
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
"Article number: 8969996"
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
Iasi, Romania
Event location
Romania
Event date
Nov 21, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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