Removal of Electrooculogram Artifacts from Electroencephalogram Using Canonical Correlation Analysis with Ensemble Empirical Mode Decomposition

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Removal of Electrooculogram Artifacts from Electroencephalogram Using Canonical Correlation Analysis with Ensemble Empirical Mode Decomposition

© 2017, Springer Science+Business Media New York. Electrooculogram (EOG) is one of the major artifacts in the design of electroencephalogram (EEG)-based brain computer interfaces (BCIs). That removing EOG artifacts automatically while retaining more neural data will benefit for further feature extra...

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Bibliographic Details
Main Authors:	Yang, B., Zhang, T., Zhang, Y., Liu, Wan-Quan, Wang, J., Duan, K.
Format:	Journal Article
Published:	2017
Online Access:	http://hdl.handle.net/20.500.11937/63532

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