Adaptive Filtration of Physiological Artifacts in EEG Signals in Humans Using Empirical Mode Decomposition
- Авторлар: Grubov V.1, Runnova A.1, Hramov A.1
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Мекемелер:
- Gagarin State Technical University of Saratov
- Шығарылым: Том 63, № 5 (2018)
- Беттер: 759-767
- Бөлім: Biomedical Physics
- URL: https://journals.rcsi.science/1063-7842/article/view/201427
- DOI: https://doi.org/10.1134/S1063784218050110
- ID: 201427
Дәйексөз келтіру
Аннотация
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.
Авторлар туралы
V. Grubov
Gagarin State Technical University of Saratov
Хат алмасуға жауапты Автор.
Email: vvgrubov@gmail.com
Ресей, Saratov, 410054
A. Runnova
Gagarin State Technical University of Saratov
Email: vvgrubov@gmail.com
Ресей, Saratov, 410054
A. Hramov
Gagarin State Technical University of Saratov
Email: vvgrubov@gmail.com
Ресей, Saratov, 410054