AN ALTERNATIVE METHOD FOR THE REMOVAL OF THE OCULAR ARTIFACT FROM THE EEG SIGNAL
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.
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