GW6 - Grand-average ERP algorithm

Version 1.0.0.0 (6.84 KB) by marco.bilucaglia
GW6 algorithm for multichannel EEG data
0.0
(0)
238 Downloads
Updated 3 Aug 2017

View License

This is the Matlab implementation of the algorithm presented in W. Giroldini, L. Pederzoli, M. Bilucaglia et al., A new method to detect event-related potentials based on Pearson’s correlation, EURASIP Journal of Bioinformatics and System Biology, 2016:11.
In this paper, a new method called GW6 is proposed, which calculates the ERP using a mathematical method based only on Pearson’s correlation. The result is a graph with the same time resolution as the classical ERP and which shows only positive peaks representing the increase—in consonance with the stimuli—in EEG signal correlation over all channels.

Cite As

marco.bilucaglia (2025). GW6 - Grand-average ERP algorithm (https://www.mathworks.com/matlabcentral/fileexchange/63973-gw6-grand-average-erp-algorithm), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2017a
Compatible with any release
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Version Published Release Notes
1.0.0.0