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Electrodes Selection for Microsleeps Detection by Classification of EEG Spectrograms
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SYSNO ASEP 0311419 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Electrodes Selection for Microsleeps Detection by Classification of EEG Spectrograms Title Výběr elektrod pro detekci mikrospánků na základě klasifikace EEG spektrogramů Author(s) Coufal, David (UIVT-O) RID, SAI, ORCID Source Title New Aspects on Computing Research. - Athens : WSEAS Press, 2008 / Cepisca C. ; Kouzaev G.A. ; Mastorakis N.E. - ISBN 978-960-474-002-4 Pages s. 338-343 Number of pages 6 s. Action ECC'08. European Computing Conference /2./ Event date 11.09.2008-13.09.2008 VEvent location Malta Country MT - Malta Event type WRD Language eng - English Country GR - Greece Keywords microsleep detection ; EEG spectrograms ; data mining techniques ; classification trees Subject RIV IN - Informatics, Computer Science R&D Projects 1F84B/042/520 GA MDS - Ministry of Transport (MD) CEZ AV0Z10300504 - UIVT-O (2005-2011) UT WOS 000260440500052 Annotation In the paper we focus on discrimination between electrodes which are used for EEG signals recording and subsequent detection of car drivers’ vigilance levels. The detection is based on the classification of EEG spectrograms which are recorded from 19 electrodes spread over driver’s head. We are interested in the selection of a small subset of the most discriminating electrodes for each level. Especially, we are aimed on detection of hazardous states of microsleeps. The selection of electrodes was performed by means of GUHA data mining method and for classification we employed C4.5 classification algorithm. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2009
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