Apply rCAR

Version 2.0.0 (1.91 MB) by Giorgio Fuggetta
A statistically robust EEG re-referencing procedure to mitigate reference effect
0.0
(0)
186 Downloads
Updated 24 Aug 2018
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 (2026). Apply rCAR (https://github.com/kql/rCAR), GitHub. Retrieved .

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

Versions that use the GitHub default branch cannot be downloaded

Version Published Release Notes
2.0.0

The rCAR procedure can now be applied to EEG data in the following EEG formats: Brain vision Analyzer (*.eeg), Neuroscan (*.cnt), Compumedics Neuroscan Curry, 6, 7, 8 (*.cdt), European Data Format (*.edf), BioSemi (*.bdf), and EEGLAB (*.set).

1.0.0.0

New GUI. Version 1.0
Authors: Dr Phil A. Duke, Dr Giorgio Fuggetta, and Dr Kyle Q. Lepage.

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.