Adaptive Filtration of Physiological Artifacts in EEG Signals in Humans Using Empirical Mode Decomposition
- Autores: Grubov V.1, Runnova A.1, Hramov A.1
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Afiliações:
- Gagarin State Technical University of Saratov
- Edição: Volume 63, Nº 5 (2018)
- Páginas: 759-767
- Seção: 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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Resumo
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.
Sobre autores
V. Grubov
Gagarin State Technical University of Saratov
Autor responsável pela correspondência
Email: vvgrubov@gmail.com
Rússia, Saratov, 410054
A. Runnova
Gagarin State Technical University of Saratov
Email: vvgrubov@gmail.com
Rússia, Saratov, 410054
A. Hramov
Gagarin State Technical University of Saratov
Email: vvgrubov@gmail.com
Rússia, Saratov, 410054