OpenViBE Documentation 3.3.0
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Algorithm implementation as suggested in Schlogl's article of 2007
This box uses a denoising matrix 'b' calculated previously through the EOG_Denoising_Calibration for removing the EOG effects on EEG. The principle is based on regression analysis (see article 'A fully automated correction method of EOG artifacts in EEG recordings) where a matrix 'b' is estimated being:b = <'Nt N>-ยน<'N S> with N being the noise (EOG electrodes) and S the source (EEG electrodes).
The signal output is the EEG_Corrected (free of EOG noise):O=S-b*N (EEG_Corrected = EEG - b*EOG)
Make sure to select the same quantity of EEG channels as specified in your 'b' parameter matrix
Make sure to select the same quantity of EOG channels as specified in your 'b' parameter matrix
The output has the same structure as the EEG input
Make sure to select the right file containing your 'b' matrix with the right coefficients
You can apply these boxes in a set with a high density of blinking eyes and see the results before and after.