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Description
  • The 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.
  • The 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. (en)
  • V článku jsou referovány výsledky analýz EEG spekter metodou GUHA. Cílem analýz je detekce takových charakteristik EEG spekter, které statisticky významně souvisejí se stavy nebezpečného poklesu pozornosti řidiče. Konkrétně se zabýváme detekcí mikrospánků u řidičů automobilů na základě záznamu a analýzy EEG signálu měřeného na temeni hlavy řidiče. Výsledky prezentované v článku navazují na předchozí výzkum prováděný v této oblasti. Díky zpracování nových experimentálních dat a využití Burgovy a Welchovi transformace byly detekovány nové charakteristiky EEG spekter, které umožňují zlepšit přesnost detekce nebezpečných stavů v pozornosti řidiče. (cs)
Title
  • GUHA Method Analyses of Burg's and Welch's EEG Signals Spectrograms
  • GUHA Method Analyses of Burg's and Welch's EEG Signals Spectrograms (en)
  • Analýza Burgových a Welchových EEG spekter metodou GUHA (cs)
skos:prefLabel
  • GUHA Method Analyses of Burg's and Welch's EEG Signals Spectrograms
  • GUHA Method Analyses of Burg's and Welch's EEG Signals Spectrograms (en)
  • Analýza Burgových a Welchových EEG spekter metodou GUHA (cs)
skos:notation
  • RIV/67985807:_____/07:00088986!RIV08-AV0-67985807
http://linked.open.../vavai/riv/strany
  • 234;246
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ME 701), Z(AV0Z10300504)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 423725
http://linked.open...ai/riv/idVysledku
  • RIV/67985807:_____/07:00088986
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • EEG spectrograms analysis; micro-sleep detection; data-mining (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [37985158DDFD]
http://linked.open...i/riv/mistoVydani
  • Prague
http://linked.open...vEdiceCisloSvazku
  • Edice monografií NNW, 7
http://linked.open...i/riv/nazevZdroje
  • Neuroinformatic Databases and Mining of Knowledge of Them
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Coufal, David
  • Šebesta, Václav
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • České vysoké učení technické v Praze
https://schema.org/isbn
  • 978-80-87136-01-0
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