Dealing with noise and physiological artifacts in human EEG recordings: empirical mode methods

Anastasiya E. Runnova; Vadim V. Grubov; Marina V. Khramova; Alexander E. Hramov

doi:10.1117/12.2267695

14 April 2017 Dealing with noise and physiological artifacts in human EEG recordings: empirical mode methods

Anastasiya E. Runnova, Vadim V. Grubov, Marina V. Khramova, Alexander E. Hramov

Proceedings Volume 10337, Saratov Fall Meeting 2016: Laser Physics and Photonics XVII; and Computational Biophysics and Analysis of Biomedical Data III; 1033712 (2017) https://doi.org/10.1117/12.2267695
Event: Saratov Fall Meeting 2016: Fourth International Symposium on Optics and Biophotonics, 2016, Saratov, Russian Federation

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.

Citation Download Citation

Anastasiya E. Runnova, Vadim V. Grubov, Marina V. Khramova, and Alexander E. Hramov "Dealing with noise and physiological artifacts in human EEG recordings: empirical mode methods", 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); https://doi.org/10.1117/12.2267695

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