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This paper reports on application of Complete Ensemble Empirical Mode Decomposition (CEEMD) technique to pre-process Electro-Oculogram (EOG) signals before eye blink detection technique is implemented. EOG is a non-stationary signal which is affected by different kinds of interferences. During the time of recording EOG signal gets contaminated by Electromyography (EMG) signal. In this paper CEEMD is used to decompose the EOG signal into several intrinsic mode functions (IMFs). After thresholding each IMF the signal is reconstructed using all of the IMFs. The resulting denoised signal is then used to detect eye blink.
Md. Sakib Galib Sourav. 2016. \u201cImplementation of Complete Ensemble Empirical Mode Decomposition to Analyze EOG Signals for Eye Blink Detection\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 16 (GJRE Volume 16 Issue F3): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
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Total Score: 101
Country: Bangladesh
Subject: Global Journal of Research in Engineering - F: Electrical & Electronic
Authors: Md. Sakib Galib Sourav (PhD/Dr. count: 0)
View Count (all-time): 217
Total Views (Real + Logic): 3867
Total Downloads (simulated): 1935
Publish Date: 2016 03, Tue
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This paper reports on application of Complete Ensemble Empirical Mode Decomposition (CEEMD) technique to pre-process Electro-Oculogram (EOG) signals before eye blink detection technique is implemented. EOG is a non-stationary signal which is affected by different kinds of interferences. During the time of recording EOG signal gets contaminated by Electromyography (EMG) signal. In this paper CEEMD is used to decompose the EOG signal into several intrinsic mode functions (IMFs). After thresholding each IMF the signal is reconstructed using all of the IMFs. The resulting denoised signal is then used to detect eye blink.
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