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Title:Artifact Rejection for Casual Electroencephalographic Data Processing
Author(s):Chowdhury, Raeed
Contributor(s):Coleman, Todd
artifact rejection
image processing
independent component analysis
Abstract:This thesis describes a method to reject unwanted artifacts, such as eye-blinks, eye movement and muscle movement, from electroencephalogram (EEG) data in real-time, using independent component analysis (ICA). This method is based on a non-real-time artifact rejection method developed by Jung et al. [1]. This thesis focuses on eye-blink artifacts, but can be expanded to include all types of artifacts. The special case of cleaning the feedback related negativity (FRN) signal, an error signal elicited by the brain, is examined to test the validity of the algorithm. It was found that eye-blink artifacts seemed to be mostly rejected from the causal data, though further refinement of the technique is required before the method can be an ideal artifact rejection paradigm.
Issue Date:2011-12
Publication Status:unpublished
Peer Reviewed:not peer reviewed
Date Available in IDEALS:2014-01-13

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