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RONZHINA, M.
Original Title
Somnolence Detection Using Electroencephalogram
English Title
Type
conference paper
Language
Czech
Original Abstract
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.
English abstract
Keywords
Electroencephalogram, fuzzy logic, somnolence detection
Key words in English
Authors
RIV year
2010
Released
29. 4. 2010
Publisher
Novapress, s.r.o.
Location
Brno
ISBN
978-80-214-4079-1
Book
Proceedings of the 16th Conference Student EEICT 2010
Pages from
82
Pages to
86
Pages count
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" }