Paper
A fully Automatic Method of Removing EOG Artifacts from EEG Recordings
- Authors:
- YANG Jin-Fu; YANG Lin-Bao; LI Ming-Ai
- Abstract
- Electroencephalogram (EEG) signal is quite weak and can be easily contaminated by electrooculogram (EOG). This makes the signal processing and analyzing quite difficult. An automatic correction method with high effectiveness is perceived as an important technique to solve this problem. In this paper, a Hilbert-Huang transform (HHT) based automatic correction method is proposed. According to the local time-frequency properties of EOG and statistical characteristics of intrinsic mode function (IMF), EOG artifacts can be removed from EEG using this method. HHT has perfect local time-frequency properties, which could adapt to EEG with non-stationary signal. The results show that this method can remove EOG artifacts automatically from EEG which is contaminated by it.
- Keywords
- HHT; EOG; EEG
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- EndPage
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