Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/43133
Title: EOG artifact minimization using oblique projection corrected eigenvector decomposition.
Authors: Zhou, Z. 
Puthusserypady, S. 
Issue Date: 2008
Source: Zhou, Z.,Puthusserypady, S. (2008). EOG artifact minimization using oblique projection corrected eigenvector decomposition.. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 2008 : 4656-4659. ScholarBank@NUS Repository.
Abstract: In this paper, the authors propose an efficient algorithm to minimize the electrooculogram (EOG) artifacts in electroencephalogram (EEG). The approach uses the eigenvectors obtained from a learning process to initialize an oblique projection based blind source extraction (BSE) algorithm. It is used to extract the point source EOG artifacts. EEG data is subsequently reconstructed by a deflation method. The simulations with synthetic data illustrate that the BSE corrected algorithm is reliable and has better performance than the uncorrected eigenvector decomposition based method. The results of simulations with real EEG data confirms the effectiveness of our algorithm.
Source Title: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/43133
ISSN: 1557170X
Appears in Collections:Staff Publications

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