dc.contributor.author | Rieger, J. | |
dc.contributor.author | Lhotská, Lenka | |
dc.contributor.author | Krajča, Vladimír | |
dc.date.accessioned | 2011-01-21T06:05:11Z | |
dc.date.available | 2011-01-21T06:05:11Z | |
dc.date.issued | 2005 | |
dc.identifier.citation | Advances in electrical and electronic engineering. 2005, vol. 4, no. 3, p. 151-156. | en |
dc.identifier.issn | 1336-1376 | |
dc.identifier.uri | http://hdl.handle.net/10084/83686 | |
dc.description.abstract | This paper presents results of development of long-term EEG records analysis software and its application to real
world coma signals. Due to the nature of coma signals, presented methods are also suitable for other types of signals (sleep
and neonatal EEG etc.). Digital form of EEG signals makes it possible to use methods of quantitative EEG processing, which
are not available in paper form. Quantitative EEG processing techniques include simple statistical methods, filtration,
segmentation, classification, coherence analysis, principal and independent component analysis, effective visualization of
data, brain mapping etc. All of those tools are developed to ease the work of clinicians. | en |
dc.format.extent | 326576 bytes | cs |
dc.format.mimetype | application/pdf | cs |
dc.language.iso | cs | en |
dc.publisher | Žilinská univerzita v Žiline. Elektrotechnická fakulta | en |
dc.relation.ispartofseries | Advances in electrical and electronic engineering | en |
dc.relation.uri | http://advances.utc.sk/index.php/AEEE | en |
dc.rights | Creative Commons Attribution 3.0 Unported (CC BY 3.0) | en |
dc.rights | © Žilinská univerzita v Žiline. Elektrotechnická fakulta | en |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/ | en |
dc.title | Zpracování dlouhodobých EEG záznamů | en |
dc.type | article | en |
dc.rights.access | openAccess | |
dc.type.version | publishedVersion | cs |
dc.type.status | Peer-reviewed | cs |