Počet záznamů: 1  

Neuroinformatic Databases and Mining of Knowledge of Them

  1. 1.
    SYSNO ASEP0088986
    Druh ASEPM - Kapitola v monografii
    Zařazení RIVC - Kapitola v knize
    NázevGUHA Method Analysis of Burg's and Welch's EEG Signals Spectrograms
    Překlad názvuAnalýza Burgových a Welchových EEG spekter metodou GUHA
    Tvůrce(i) Coufal, David (UIVT-O) RID, SAI, ORCID
    Šebesta, Václav (UIVT-O) SAI, RID
    Zdroj.dok.Neuroinformatic Databases and Mining of Knowledge of Them. - Prague : Czech Technical University, 2007 / Novák M. - ISBN 978-80-87136-01-0
    Rozsah strans. 234-246
    Poč.str.13 s.
    Jazyk dok.eng - angličtina
    Země vyd.CZ - Česká republika
    Klíč. slovaEEG spectrograms analysis ; micro-sleep detection ; data-mining
    Vědní obor RIVIN - Informatika
    CEPME 701 GA MŠk - Ministerstvo školství, mládeže a tělovýchovy
    CEZAV0Z10300504 - UIVT-O (2005-2011)
    AnotaceThe 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.
    PracovištěÚstav informatiky
    KontaktTereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
    Rok sběru2008
Počet záznamů: 1