GW6 - Grand-average ERP algorithm

Versione 1.0.0.0 (6,84 KB) da marco.bilucaglia
GW6 algorithm for multichannel EEG data
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Aggiornato 3 ago 2017

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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.

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

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1.0.0.0