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Apply rCAR

version 2.0.0 (1.91 MB) by Giorgio Fuggetta
A statistically robust EEG re-referencing procedure to mitigate reference effect

151 Downloads

Updated 24 Aug 2018

From GitHub

View license on GitHub

This MATLAB's script by Dr Phil A. Duke, Dr Giorgio Fuggetta, and Dr Kyle Q. Lepage, performs re-referencing using the robust Common Average Reference (rCAR) procedure put forward by Lepage, Kramer and Chu (2014) to EEG data in different formats. These EEG formats are: Brain vision Analyser (BVA); Neuroscan continuous (CNT); Neuroscan CURRY 6, 7, 8; European Data Format (EDF); BioSemi format (BDF); EEGLAB (*.set).

Reference: K. Q. Lepage, M. A. Kramer, C. J. Chu (2014) A Statistically Robust EEG Re-referencing Procedure to Mitigate Reference Effect, Journal of Neuroscience Methods, 235 101-116. Click on "Learn More" to download Apply rCAR.

Cite As

Giorgio Fuggetta (2022). Apply rCAR (https://github.com/kql/rCAR), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2016a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.