Number of the records: 1  

Neuroinformatic Databases and Mining of Knowledge of Them

  1. 1.
    SYSNO ASEP0088986
    Document TypeM - Monograph Chapter
    R&D Document TypeMonograph Chapter
    TitleGUHA Method Analysis of Burg's and Welch's EEG Signals Spectrograms
    TitleAnalýza Burgových a Welchových EEG spekter metodou GUHA
    Author(s) Coufal, David (UIVT-O) RID, SAI, ORCID
    Šebesta, Václav (UIVT-O) SAI, RID
    Source TitleNeuroinformatic Databases and Mining of Knowledge of Them. - Prague : Czech Technical University, 2007 / Novák M. - ISBN 978-80-87136-01-0
    Pagess. 234-246
    Number of pages13 s.
    Languageeng - English
    CountryCZ - Czech Republic
    KeywordsEEG spectrograms analysis ; micro-sleep detection ; data-mining
    Subject RIVIN - Informatics, Computer Science
    R&D ProjectsME 701 GA MŠk - Ministry of Education, Youth and Sports (MEYS)
    CEZAV0Z10300504 - UIVT-O (2005-2011)
    AnnotationThe paper presents results of GUHA method analyses of electroencephalographic spectrograms (EEG spectrograms). The goal of analyses is to detect those characteristics in EEG spectrograms which are significantly related to hazardous episodes in car driver's attention. Namely, we are interested in the micro-sleeps detection on the basis of scan and analysis of an EEG signal measured on driver's head. The presented research postpones and refines our previous research in this area due to the introduction of new, more extensive experimental data set of EEG records; and employment of Burg's and Welch's transformations from time to frequency domain. Obtained results are promising since we are able to identified factors that discriminate hazardous states from non-hazardous ones.
    WorkplaceInstitute of Computer Science
    ContactTereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
    Year of Publishing2008
Number of the records: 1