Název:
EEG Signal Analysis based on EMD and Discrete Energy Separation Algorithm
Autoři:
Potočňák, Tomáš Typ dokumentu: Příspěvky z konference
Jazyk:
eng
Nakladatel: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstrakt:
This paper deals with spectral analysis of nocturnal EEG signal from apnoea/hypopnea patients. Main goal is to employ methods independent to Fourier Transform, because of nonstationary character of signal, to better description of frequency changes. For this purpose, analysis based on Empirical Mode Decomposition and Discrete Energy Separation Algorithm was tested. This method is similar to commonly used Hilbert Huang Transform, but can provide higher time and frequency resolution due to algorithms based on Teager-Keiser Energy Operator, which can work with very short time window.
Klíčová slova:
Discrete Energy Separation Algorithm; Empirical Mode Decomposition; nocturnal EEG; Teager-Keiser Energy Operator Zdrojový dokument: Proceedings of the 22nd Conference STUDENT EEICT 2016, ISBN 978-80-214-5350-0
Instituce: Vysoké učení technické v Brně
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Informace o dostupnosti dokumentu:
Plný text je dostupný v Digitální knihovně VUT. Původní záznam: http://hdl.handle.net/11012/83989