Complex analysis of EEG signal for biometrical classification purposes

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

Title:	Complex analysis of EEG signal for biometrical classification purposes
Author:	Švejda, Jaromír; Žák, Roman; Šenkeřík, Roman; Jašek, Roman
Document type:	Conference paper (English)
Source document:	Advances in Intelligent Systems and Computing. 2014, vol. 289, p. 449-459
ISSN:	2194-5357 (Sherpa/RoMEO, JCR)

ISBN:	978-3-319-07400-9
DOI:	https://doi.org/10.1007/978-3-319-07401-6_45
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
Full text:	https://link.springer.com/chapter/10.1007/978-3-319-07401-6_45
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Citace článku v konferenčním sborníku:
ŠVEJDA, Jaromír, Roman ŽÁK, Roman ŠENKEŘÍK a Roman JAŠEK. Complex analysis of EEG signal for biometrical classification purposes. In: Advances in Intelligent Systems and Computing [online]. Ostrava: Springer-Verlag, 2014, s. 449-459. [cit. 2024-12-12]. ISSN 2194-5357. Dostupné z: https://link.springer.com/chapter/10.1007/978-3-319-07401-6_45.

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