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Proceedings Paper

Dealing with noise and physiological artifacts in human EEG recordings: empirical mode methods
Author(s): Anastasiya E. Runnova; Vadim V. Grubov; Marina V. Khramova; Alexander E. Hramov
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Paper Abstract

In the paper we propose the new method for removing noise and physiological artifacts in human EEG recordings based on empirical mode decomposition (Hilbert-Huang transform). As physiological artifacts we consider specific oscillatory patterns that cause problems during EEG analysis and can be detected with additional signals recorded simultaneously with EEG (ECG, EMG, EOG, etc.) We introduce the algorithm of the proposed method with steps including empirical mode decomposition of EEG signal, choosing of empirical modes with artifacts, removing these empirical modes and reconstructing of initial EEG signal. We show the efficiency of the method on the example of filtration of human EEG signal from eye-moving artifacts.

Paper Details

Date Published: 14 April 2017
PDF: 7 pages
Proc. SPIE 10337, Saratov Fall Meeting 2016: Laser Physics and Photonics XVII; and Computational Biophysics and Analysis of Biomedical Data III, 1033712 (14 April 2017); doi: 10.1117/12.2267695
Show Author Affiliations
Anastasiya E. Runnova, Saratov State Technical Univ. (Russian Federation)
Vadim V. Grubov, Saratov State Technical Univ. (Russian Federation)
Marina V. Khramova, Saratov State Univ. (Russian Federation)
Alexander E. Hramov, Saratov State Technical Univ. (Russian Federation)
Saratov State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 10337:
Saratov Fall Meeting 2016: Laser Physics and Photonics XVII; and Computational Biophysics and Analysis of Biomedical Data III
Vladimir L. Derbov; Vladimir L. Derbov; Dmitry Engelevich Postnov; Dmitry Engelevich Postnov, Editor(s)

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