An alternative method for the removal of the ocular artifact from the EEG signal.

UNLABELLED

The aim of this paper is to develop a technique of rejection or minimization of ocular artifacts from the electroencephalographic (EEG) recordings.

MATERIAL AND METHOD

The method presented is based on mathematical morphology. The algorithm and the individual structuring element are presented along with the particularities concerning the parameters that characterize the structuring element.

RESULTS

The obtained results are shown in a comprehensive form by means of an illustrating example that evidences the efficiency of the method.

CONCLUSIONS

The proposed method simplyfies the task of removing the ocular artifacts by means of nonlinear filtering and introduces a new structural element for the job. The results are validated by means of Fourier analysis and this clearly shows its effectiveness.