A Method for Automatic Removal of Eye Blink Artifacts from EEG Based on EMD-ICA

Soomro, Mumtaz and binti Badruddin, Nasreen and bin Yusoff, Mohd Zuki and Malik, Aamir Saeed (2013) A Method for Automatic Removal of Eye Blink Artifacts from EEG Based on EMD-ICA. In: 2013 IEEE 9th International Colloquium on Signal Processing and its Applications (ICSPA), March 8 - 10, 2013, Kuala Lumpur, Malaysia.

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The electroencephalography (EEG) recordings are mostly contaminated by eye blink artifacts. It is very difficult to analyze and interpret the EEG signal due to frequent occurrence of the eye blink artifact. In this paper, a new hybrid algorithm that automatically removes the eye blink artifact from the EEG, based on Empirical Mode Decomposition (EMD) and Independent Component Analysis (ICA) is proposed. The proposed algorithm is evaluated on simulated EEG to calculate correlation coefficient and signal-to-artifact ratio (SAR). A noncorrected EEG was simulated to have a SAR of -19.1673 dB. From the simulation results, the highest average correlation coefficient and SAR of corrected EEG from non-corrected EEG are obtained as 0.871094 and 2.71645 dB respectively by applying proposed algorithm. The results demonstrate that proposed method recovers the EEG data by removing the eye blink artifacts reliably. In addition, the proposed method is applied on real spontaneous EEG data with eye blink artifact.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > Q Science (General)
R Medicine > R Medicine (General)
T Technology > T Technology (General)
Departments / MOR / COE: Centre of Excellence > Center for Intelligent Signal and Imaging Research
Research Institutes > Institute for Health Analytics
Depositing User: Dr Aamir Saeed Malik
Date Deposited: 16 Dec 2013 23:48
Last Modified: 16 Dec 2013 23:48
URI: http://scholars.utp.edu.my/id/eprint/10841

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