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Identification of Nonlinear Oscillatory Activity Embedded in Broadband Neural Signals
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SYSNO ASEP 0341917 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Identification of Nonlinear Oscillatory Activity Embedded in Broadband Neural Signals Author(s) Vejmelka, Martin (UIVT-O) SAI, RID, ORCID
Paluš, Milan (UIVT-O) RID, SAI, ORCID
Šušmáková, K. (SK)Source Title International Journal of Neural Systems. - : World Scientific Publishing - ISSN 0129-0657
Roč. 20, č. 2 (2010), s. 117-128Number of pages 12 s. Language eng - English Country SG - Singapore Keywords nonlinear dynamical systems ; oscillations ; random processes ; time series analysis ; EEG Subject RIV FH - Neurology R&D Projects 7E08027 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z10300504 - UIVT-O (2005-2011) UT WOS 000276967600003 EID SCOPUS 77951542172 DOI 10.1142/S0129065710002309 Annotation Neural signals typically have a broadband character and the origin of potential embedded oscillatory activity is unclear. The paper proposes a method of extraction of oscillatory activity and its testing for nonlinear phenomena. If nonlinear phenomena are identified, then methods based on the theory of nonlinear dynamical systems may be applied, otherwise methods based in linear theory are sufficient and recommended. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2011
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