Common average refrencing (CAR) application on EEG signals.

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I have a matrix of dimensions 450000*60 of a one class eeg signal. I have to apply Common average referencing (CAR) on it. Matrix dimension 45000*60 where 1:60 is the no. electrodes from 1 to 60 and 45000 is the total number of samples. Each trial consists of 1000 samples. This is to be calculated trial wise Can anybody help me with the code?

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Debanjan Botthakur
Debanjan Botthakur 2018-3-16
编辑:Debanjan Botthakur 2018-3-16
You can try
for i=1:60 signal2(:,i)=signal1(:,i)-mean(signal1,2); end

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zaineb alhakeem
zaineb alhakeem 2019-5-7
It means the average of the channels

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