Title :
Evaluation of two methods based on EMD for elimination of blink from EEG
Author_Institution :
Dept. of Biomed. Eng., Islamic Azad Univ., Dezful, Iran
Abstract :
EEG signals collected from cortex are often contaminated with the eye electrical activity, which increase the difficulty in analyzing the EEG and to obtaining clinical information. In this paper, two different methods based on Empirical Mode Decomposition, for elimination of blink in EEG is compared. The performance index of this experiment is the correlation coefficient between bands of pure EEG and filtered EEG, which indicate the method based on combination of EMD and adaptive filtering outperforms the EMD approach for elimination of blink contamination from EEG signal.
Keywords :
adaptive filters; bioelectric phenomena; electroencephalography; eye; medical signal processing; performance index; EEG analysis; EEG blink elimination; EEG signal contamination; EMD combination; EMD-based method; Empirical Mode Decomposition; adaptive filtering; correlation coefficient; cortex; eye electrical activity; filtered EEG band; performance index; pure EEG band; Adaptive filters; Conferences; Contamination; Electroencephalography; Electrooculography; Empirical mode decomposition; Entropy; Adaptive filtering; Blink; Correlation coefficient; EEG; EMD;
Conference_Titel :
Electronics and Nanotechnology (ELNANO), 2013 IEEE XXXIII International Scientific Conference
Conference_Location :
Kiev
Print_ISBN :
978-1-4673-4669-6
DOI :
10.1109/ELNANO.2013.6552097