19 March 2015 Time-frequency analysis of epileptic EEG patterns by means of empirical modes and wavelets
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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, Vadim V. Grubov, Evgenia Yu. Sitnikova, Evgenia Yu. Sitnikova, Alexey N. Pavlov, Alexey N. Pavlov, Marina V. Khramova, Marina V. Khramova, Alexey A. Koronovskii, Alexey A. Koronovskii, Alexander E. Hramov, 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); doi: 10.1117/12.2178898; https://doi.org/10.1117/12.2178898
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