Common average refrencing (CAR) application on EEG signals.

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?

Answer 1

[Debanjan Botthakur]

You can try

for i=1:60 signal2(:,i)=signal1(:,i)-mean(signal1,2); end

[vinay kulkarni]

hello i just want to ask that why do you take 2 there in mean(signal1,2) ?

Answer 2

[zaineb alhakeem]

It means the average of the channels