Brain Power

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F12%3A43918202" target="_blank" >RIV/49777513:23520/12:43918202 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Brain Power

Original language description

The article desribes the results of investigations in the area of neuroinformatics achieved at four Czech Universities and Institutes. It presents the properties of the developed EEG/ERP Portal, special methods of nonlinear modeling, modeling of very complex systems such as human brain, analysis techniques of large scale medicine data (e.g. MRI data), evaluation of data of various modeling and testing scenarios, and evaluation of special types of biomedical signals in order to indicate significant features of these signals. The main goal of these activities is to improve the knowledge of approaches suitable for the reduction of road accidents.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

IN - Informatics

OECD FORD branch

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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)

Publication year

2012

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Pan European Networks: Science& Technology

ISSN

2049-2391

e-ISSN

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Volume of the periodical

2012

Issue of the periodical within the volume

4

Country of publishing house

GB - UNITED KINGDOM

Number of pages

2

Pages from-to

42-43

UT code for WoS article

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EID of the result in the Scopus database

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