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Real time eye blink artifacts removal in electroencephalogram using Savitzky-Golay referenced adaptive filtering

Abd. Rahman, Faridah and Othman, Mohd. Fauzi (2015) Real time eye blink artifacts removal in electroencephalogram using Savitzky-Golay referenced adaptive filtering. In: International Conference for Innovation in Biomedical Engineering and Life Sciences, 6-8 Dec, 2015, Putrajaya, Malaysia.

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Official URL: http://www.springer.com/in/book/9789811002656

Abstract

Eye blink artifacts cause a major problem to electroencephalograph (EEG) signals since they introduce serious distortion to the signals. The implementation of algorithm to eliminate those artifacts automatically and at real time becomes highly important when considering the recent focus on portable EEG applications. In this paper, we propose a real-time eye blinks artifact removal using adaptive filtering with-out an additional reference electrode. The proposed method utilizes a Savitzky-Golay (SG) filter to estimate a blink component from the noisy EEG signals, and then is used as a reference in adaptive noise cancellation system. We demonstrate the reliability of the proposed method by using both simulated and real EEG data sets. The estimated blink artifacts by the pro-posed method are compared to the original blink signals measured by electrooculograph (EOG). The performance of the filters in terms of removing the blink components from the noisy signals are also compared between the proposed SG referenced and a conventional EOG referenced adaptive filtering. The results show that the proposed method is able to estimate the blink artifacts with high correlation to the original blink signals and remove the artifact successfully.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:eye blink artifact, adaptive filtering without reference
Subjects:T Technology > TP Chemical technology
Divisions:Management
ID Code:62010
Deposited By: Widya Wahid
Deposited On:06 May 2017 12:30
Last Modified:28 Nov 2017 15:25

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