Original title: EEG Signal Analysis based on EMD and Discrete Energy Separation Algorithm
Authors: Potočňák, Tomáš
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: 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.
Keywords: Discrete Energy Separation Algorithm; Empirical Mode Decomposition; nocturnal EEG; Teager-Keiser Energy Operator
Host item entry: Proceedings of the 22nd Conference STUDENT EEICT 2016, ISBN 978-80-214-5350-0

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/83989

Permalink: http://www.nusl.cz/ntk/nusl-383707


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Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers