Adaptive filtering of electroencephalogram signals using the empirical-modes method
- Authors: Grubov V.V.1,2, Runnova A.E.1,2, Koronovskii A.A.1,2, Hramov A.E.1,2
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Affiliations:
- Yuri Gagarin State Technical University of Saratov
- Saratov State University
- Issue: Vol 43, No 7 (2017)
- Pages: 619-622
- Section: Article
- URL: https://bakhtiniada.ru/1063-7850/article/view/205283
- DOI: https://doi.org/10.1134/S1063785017070070
- ID: 205283
Cite item
Abstract
A new method for the removal of physiological artifacts in the experimental signals of human electroencephalograms (EEGs) has been developed. The method is based on decomposition of the signal in terms of empirical modes. The algorithm involves EEG signal decomposition in terms of empirical modes, searching for modes with artifacts, removing these modes, and restoration of the EEG signal. The method was tested on experimental data and showed high efficiency in the removal of various physiological artifacts in EEGs.
About the authors
V. V. Grubov
Yuri Gagarin State Technical University of Saratov; Saratov State University
Author for correspondence.
Email: vvgrubov@gmail.com
Russian Federation, Saratov, 410054; Saratov, 410012
A. E. Runnova
Yuri Gagarin State Technical University of Saratov; Saratov State University
Email: hramovae@gmail.com
Russian Federation, Saratov, 410054; Saratov, 410012
A. A. Koronovskii
Yuri Gagarin State Technical University of Saratov; Saratov State University
Email: hramovae@gmail.com
Russian Federation, Saratov, 410054; Saratov, 410012
A. E. Hramov
Yuri Gagarin State Technical University of Saratov; Saratov State University
Author for correspondence.
Email: hramovae@gmail.com
Russian Federation, Saratov, 410054; Saratov, 410012
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