Development of Visual Evoked Potentials Detection AIgorithm for objective perimetry

Objective perimetry, based on the EEG signal analysis, represents a new trend in evaluation of the human visual system. At the moment, the work is concentrated on the effective algorithms of the EEG analysis for the weak transient VEP signal detection. A new algorithm for a rapid detection of visual cortical signals - the VEPDA - was developed. For evaluation of the algorithm, two approaches are considered. The first one, based on synthetic cortical potentials and artificial, spontaneous EEG, with all data generated in the developed model, and the second one, using the real EEG data taken from measurements and mixed with the synthetic VEP signal. The approach presented in this paper concerns application of VEPDA to the modelled VEP embedded in the real, ongoing EEG signal. The final step of the work is practical implementation of the method. The research results prove the validity of the algorithm applied to the modelled data. Here, the value of VEPDA usefulness in the analysis of the real EEG recording has been verified.