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Apply rCAR

version 2.0.0 (2 MB) by Giorgio Fuggetta
A statistically robust EEG re-referencing procedure to mitigate reference effect

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Updated 24 Aug 2018

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 (2020). Apply rCAR (https://github.com/kql/rCAR), GitHub. Retrieved .

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Updates

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

Authors: Dr Phil A. Duke, Dr Giorgio Fuggetta, and Dr Kyle Q. Lepage.

1.0.0.0

New GUI. Version 1.0

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