Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/43222
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. Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology" : 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 eigen-vectors 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. © 2008 IEEE.
Source Title: Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"
URI: http://scholarbank.nus.edu.sg/handle/10635/43222
ISBN: 9781424418152
Appears in Collections:Staff Publications

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