Email this article Adaptive Filtration of Physiological Artifacts in EEG Signals in Humans Using Empirical Mode Decomposition
- Authors: Grubov V.V.1, Runnova A.E.1, Hramov A.E.1
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Affiliations:
- Gagarin State Technical University of Saratov
- Issue: Vol 63, No 5 (2018)
- Pages: 759-767
- Section: Biomedical Physics
- URL: https://journals.rcsi.science/1063-7842/article/view/201427
- DOI: https://doi.org/10.1134/S1063784218050110
- ID: 201427
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Abstract
A new method for adaptive filtration of experimental EEG signals in humans and for removal of different physiological artifacts has been proposed. The algorithm of the method includes empirical mode decomposition of EEG, determination of the number of empirical modes that are considered, analysis of the empirical modes and search for modes that contains artifacts, removal of these modes, and reconstruction of the EEG signal. The method was tested on experimental human EEG signals and demonstrated high efficiency in the removal of different types of physiological EEG artifacts.
About the authors
V. V. Grubov
Gagarin State Technical University of Saratov
Author for correspondence.
Email: vvgrubov@gmail.com
Russian Federation, Saratov, 410054
A. E. Runnova
Gagarin State Technical University of Saratov
Email: vvgrubov@gmail.com
Russian Federation, Saratov, 410054
A. E. Hramov
Gagarin State Technical University of Saratov
Email: vvgrubov@gmail.com
Russian Federation, Saratov, 410054
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