Artifact removal from EEG data with empirical mode decomposition

被引：0
|
作者：
Grubov, Vadim V. [1 ,2 ,3 ]
Runnova, Anastasiya E. [1 ,2 ,3 ]
Efremova, Tatyana Yu. [1 ,2 ]
Hramov, Alexander E. [1 ,2 ,3 ]
机构：
[1] Saratov State Tech Univ, REC Nonlinear Dynam Complex Syst, Politech Skaya Str 77, Saratov 410056, Russia
[2] Saratov State Tech Univ, Dept Automatizat Control & Mechatron, Politech Skaya Str 77, Saratov 410056, Russia
[3] Saratov NG Chernyshevskii State Univ, Fac Nonlinear Proc, Astrakhanskaya Str 83, Saratov 410026, Russia
来源：
DYNAMICS AND FLUCTUATIONS IN BIOMEDICAL PHOTONICS XIV | 2017年 / 10063卷
关键词：
Electroencephalogram; extended setup for EEG electrode system; movement artifacts; empirical mode decomposition; filtration; SEPARATION;
D O I：
10.1117/12.2251371
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
In the paper we propose the novel method for dealing with the physiological artifacts caused by intensive activity of facial and neck muscles and other movements in experimental human EEG recordings. The method is based on analysis of EEG signals with empirical mode decomposition (Hilbert-Huang transform). We introduce the mathematical 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 movement artifacts and show high efficiency of the method.
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收藏
页数：7
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