Number of the records: 1

Neuroinformatic Databases and Mining of Knowledge of Them

SYSNO ASEP	0088986
Document Type	M - Monograph Chapter
R&D Document Type	Monograph Chapter
Title	GUHA Method Analysis of Burg's and Welch's EEG Signals Spectrograms
Title	Analýza Burgových a Welchových EEG spekter metodou GUHA
Author(s)	Coufal, David (UIVT-O)_{RID, SAI, ORCID} Šebesta, Václav (UIVT-O)_{SAI, RID}
Source Title	Neuroinformatic Databases and Mining of Knowledge of Them. - Prague : Czech Technical University, 2007 / Novák M. - ISBN 978-80-87136-01-0
Pages	s. 234-246
Number of pages	13 s.
Language	eng - English
Country	CZ - Czech Republic
Keywords	EEG spectrograms analysis ; micro-sleep detection ; data-mining
Subject RIV	IN - Informatics, Computer Science
R&D Projects	ME 701 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
CEZ	AV0Z10300504 - UIVT-O (2005-2011)
Annotation	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.
Workplace	Institute of Computer Science
Contact	Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
Year of Publishing	2008

Number of the records: 1