Time-frequency analysis of epileptic EEG patterns by means of empirical modes and wavelets

Vadim V. Grubov; Evgenia Yu. Sitnikova; Alexey N. Pavlov; Marina V. Khramova; Alexey A. Koronovskii; Alexander E. Hramov

doi:10.1117/12.2178898

19 March 2015 Time-frequency analysis of epileptic EEG patterns by means of empirical modes and wavelets

Vadim V. Grubov, Evgenia Yu. Sitnikova, Alexey N. Pavlov, Marina V. Khramova, Alexey A. Koronovskii, Alexander E. Hramov

Author Affiliations +

Proceedings Volume 9448, Saratov Fall Meeting 2014: Optical Technologies in Biophysics and Medicine XVI; Laser Physics and Photonics XVI; and Computational Biophysics; 94481Q (2015) https://doi.org/10.1117/12.2178898
Event: Saratov Fall Meeting 2014, 2014, Saratov, Russian Federation

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.

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Vadim V. Grubov, Evgenia Yu. Sitnikova, Alexey N. Pavlov, Marina V. Khramova, Alexey A. Koronovskii, and Alexander E. Hramov "Time-frequency analysis of epileptic EEG patterns by means of empirical modes and wavelets", 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); https://doi.org/10.1117/12.2178898

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