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Detail publikace
RONZHINA, M.
Originální název
Somnolence Detection Using Electroencephalogram
Anglický název
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
čeština
Originální abstrakt
One of the tasks performed by analysis of electroencephalogram (EEG) is the problem of recognizing the state of somnolence, characterized by lower level of attention and the extension of reaction time to any external stimuli. In this paper we propose a method for detection of such state, based on an analysis of the EEG signal's power spectra. Classification is realized by using fuzzy logic. Four classifiers are designed, which are based on a fuzzy inference system (FIS), that are differ in IF-THEN rule's bases. The approximation of membership function (MF) is implemented using fuzzy clustering (FC). Classification results are very dependent on the applied rules and on the choice of the analyzed frequencies.
Anglický abstrakt
Klíčová slova
Electroencephalogram, fuzzy logic, somnolence detection
Klíčová slova v angličtině
Autoři
Rok RIV
2010
Vydáno
29. 4. 2010
Nakladatel
Novapress, s.r.o.
Místo
Brno
ISBN
978-80-214-4079-1
Kniha
Proceedings of the 16th Conference Student EEICT 2010
Strany od
82
Strany do
86
Strany počet
5
BibTex
@inproceedings{BUT33826, author="Marina {Filipenská}", title="Somnolence Detection Using Electroencephalogram", booktitle="Proceedings of the 16th Conference Student EEICT 2010", year="2010", pages="82--86", publisher="Novapress, s.r.o.", address="Brno", isbn="978-80-214-4079-1" }