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Complex analysis of EEG signal for biometrical classification purposes

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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 9783319074009
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.
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