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Proceedings Paper

Time-frequency analysis of epileptic EEG patterns by means of empirical modes and wavelets
Author(s): Vadim V. Grubov; Evgenia Yu. Sitnikova; Alexey N. Pavlov; Marina V. Khramova; Alexey A. Koronovskii; Alexander E. Hramov
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Paper Abstract

In this paper we perform a time-frequency analysis of epileptic EEG patterns based on two approaches for characterizing nonstationary multi-frequency signals, namely, the continuous wavelet transform (CWT) and the empirical mode decomposition (EMD). Possibilities and limitations of both these techniques are considered, and a combined approach for automatic pattern detection is proposed.

Paper Details

Date Published: 19 March 2015
PDF: 8 pages
Proc. SPIE 9448, Saratov Fall Meeting 2014: Optical Technologies in Biophysics and Medicine XVI; Laser Physics and Photonics XVI; and Computational Biophysics, 94481Q (19 March 2015); doi: 10.1117/12.2178898
Show Author Affiliations
Vadim V. Grubov, Saratov State Technical Univ. (Russian Federation)
Saratov State Univ. (Russian Federation)
Evgenia Yu. Sitnikova, Saratov State Univ. (Russian Federation)
Institute of Higher Nervous Activity and Neurophysiology (Russian Federation)
Alexey N. Pavlov, Saratov State Technical Univ. (Russian Federation)
Saratov State Univ. (Russian Federation)
Marina V. Khramova, Saratov State Univ. (Russian Federation)
Alexey A. Koronovskii, Saratov State Technical Univ. (Russian Federation)
Saratov State Univ. (Russian Federation)
Alexander E. Hramov, Saratov State Technical Univ. (Russian Federation)
Saratov State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 9448:
Saratov Fall Meeting 2014: Optical Technologies in Biophysics and Medicine XVI; Laser Physics and Photonics XVI; and Computational Biophysics
Elina A. Genina; Vladimir L. Derbov; Kirill V. Larin; Dmitry E. Postnov; Valery V. Tuchin, Editor(s)

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