Reference layer artefact subtraction (RLAS): a novel method of minimizing EEG artefacts during simultaneous fMRI

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Reference layer artefact subtraction (RLAS): a novel method of minimizing EEG artefacts during simultaneous fMRI

Large artefacts compromise EEG data quality during simultaneous fMRI. These artefact voltages pose heavy demands on the bandwidth and dynamic range of EEG amplifiers and mean that even small fractional variations in the artefact voltages give rise to significant residual artefacts after average arte...

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Bibliographic Details
Main Authors:	Chowdhury, Muhammad E.H., Mullinger, Karen J., Glover, Paul, Bowtell, Richard W.
Format:	Article
Published:	Elsevier 2014
Online Access:	https://eprints.nottingham.ac.uk/2612/

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