Filtration of human EEG recordings from physiological artifacts with empirical mode method

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

doi:10.1117/12.2250399

3 March 2017 Filtration of human EEG recordings from physiological artifacts with empirical mode method

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

Proceedings Volume 10063, Dynamics and Fluctuations in Biomedical Photonics XIV; 1006318 (2017) https://doi.org/10.1117/12.2250399
Event: SPIE BiOS, 2017, San Francisco, California, United States

Abstract

In the paper we propose the new method for dealing with noise and physiological artifacts in experimental human EEG recordings. The method is based on analysis of EEG signals with empirical mode decomposition (Hilbert-Huang transform). We consider noises and physiological artifacts on EEG as 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 method with following steps: empirical mode decomposition of EEG signal, choosing of empirical modes with artifacts, removing empirical modes with artifacts, reconstruction of the initial EEG signal. We test the method on filtration of experimental human EEG signals from eye-moving artifacts and show high efficiency of the method.

Citation Download Citation

Vadim V. Grubov, Anastasiya E. Runnova, and Marina V. Khramova "Filtration of human EEG recordings from physiological artifacts with empirical mode method", Proc. SPIE 10063, Dynamics and Fluctuations in Biomedical Photonics XIV, 1006318 (3 March 2017); https://doi.org/10.1117/12.2250399

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