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Description
  • V textu jsou publikovány dosažené výsledky testování a rozpoznávání bdělosti pomocí analýz EEG signálů. (cs)
  • In the paper the design and testing of efficiency in recognizing vigilance drifts and EEG-patterns, which precede micro-sleep onset, will be described. These algorithms, which are based on Gabor filtering and other approaches, will be discussed. In the analysis of EEG signals pseudo-spectra usually four frequency bands are considered. Brain waves change during different states of somnolence. The typical patterns will be analyzed and the results of this analysis will be presented.
  • In the paper the design and testing of efficiency in recognizing vigilance drifts and EEG-patterns, which precede micro-sleep onset, will be described. These algorithms, which are based on Gabor filtering and other approaches, will be discussed. In the analysis of EEG signals pseudo-spectra usually four frequency bands are considered. Brain waves change during different states of somnolence. The typical patterns will be analyzed and the results of this analysis will be presented. (en)
Title
  • Analysis of EEG signals during micro-sleeps
  • Analysis of EEG signals during micro-sleeps (en)
  • Analýza záznamu EEG během mikrospánku (cs)
skos:prefLabel
  • Analysis of EEG signals during micro-sleeps
  • Analysis of EEG signals during micro-sleeps (en)
  • Analýza záznamu EEG během mikrospánku (cs)
skos:notation
  • RIV/68407700:21260/04:06113349!RIV07-MSM-21260___
http://linked.open...avai/riv/aktivita
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  • P(1K04102)
http://linked.open...vai/riv/dodaniDat
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  • 554202
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  • RIV/68407700:21260/04:06113349
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  • Analyzes; Driver attention; EEG (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...i/riv/kodPristupu
http://linked.open...ontrolniKodProRIV
  • [22EEF9F219BB]
http://linked.open...i/riv/mistoVydani
  • Delft
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  • Novák, Mirko
  • Hrubeš, Pavel
  • Faber, Josef
http://localhost/t...ganizacniJednotka
  • 21260
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