Complex analysis of EEG signal for biometrical classification purposes

Švejda, Jaromír; Žák, Roman; Šenkeřík, Roman; Jašek, Roman

dc.title	Complex analysis of EEG signal for biometrical classification purposes	en
dc.contributor.author	Švejda, Jaromír
dc.contributor.author	Žák, Roman
dc.contributor.author	Šenkeřík, Roman
dc.contributor.author	Jašek, Roman
dc.relation.ispartof	Advances in Intelligent Systems and Computing
dc.identifier.issn	2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn	978-3-319-07400-9
dc.date.issued	2014
utb.relation.volume	289
dc.citation.spage	449
dc.citation.epage	459
dc.event.title	International conference on prediction, modeling and analysis of complex systems, NOSTRADAMUS 2014
dc.event.location	Ostrava
utb.event.state-en	Czech Republic
utb.event.state-cs	Česká republika
dc.event.sdate	2012-06-23
dc.event.edate	2012-06-25
dc.type	conferenceObject
dc.language.iso	en
dc.publisher	Springer-Verlag
dc.identifier.doi	10.1007/978-3-319-07401-6_45
dc.relation.uri	https://link.springer.com/chapter/10.1007/978-3-319-07401-6_45
dc.description.abstract	Aim of this article is to clarify the potential utilization of complex EEG signal in modern information age. Brain Computer Interface (BCI) represents the connection of brain waves with output device through some interface. It was investigated whether the correlation analysis of the EEG signal may be used for finding appropriate classification parameters. EEG signal was measured in the idle state of mind of 3 subjects. Complex correlation analysis was performed for 16 samples of each obtained signal history. Moreover, the position of maximal correlation was also recorded. © Springer International Publishing Switzerland 2014	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1004567
utb.identifier.obdid	43871974
utb.identifier.scopus	2-s2.0-84927594726
utb.source	d-scopus
dc.date.accessioned	2015-05-28T11:39:22Z
dc.date.available	2015-05-28T11:39:22Z
utb.contributor.internalauthor	Švejda, Jaromír
utb.contributor.internalauthor	Žák, Roman
utb.contributor.internalauthor	Šenkeřík, Roman
utb.contributor.internalauthor	Jašek, Roman
utb.fulltext.affiliation	Jaromir Svejda, Roman Zak, Roman Senkerik, and Roman Jasek Tomas Bata University in Zlin, Faculty of Applied Informatics, Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic {svejda,rzak,senkerik,jasek}@fai.utb.cz
utb.fulltext.dates	-
utb.fulltext.sponsorship	This work was supported by Internal Grant Agency of Tomas Bata University under the project No. IGA/FAI/2014/31. Further it was supported by European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089.