Detekce a rozpoznání evokovaných potenciálů z EEG signálů
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Vysoká škola báňská – Technická univerzita Ostrava
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Abstract
Visual evoked potentials have found their application in many different fields. In this study, they are used in combination with BDI-II and NEO-FFI questionnaires to determine the influence of personality on the measured SSVEP signals, or for their recognition. The SSVEP signals themselves were measured for two positions of the visual stimulus, namely in the center of the visual field and in the periphery. In both cases, a checkerboard pattern was chosen for visual stimulation, and measurements were performed for different sizes of checkerboard squares. The chosen metrics calculated on SSVEP signals are relative power, Katz fractal dimension, and Kolmogorov entropy. The calculated values are then correlated with the results of BDI-II and NEO-FFI questionnaires in order to determine the most effective measurement conditions for estimating the results of BDI-II or NEO-FFI questionnaires. All results of BDI-II and NEO-FFI questionnaires showed the strongest correlation with the Kolmogorov entropy metric, except for the openness to experience factor of the NEO-FFI questionnaire for which no suitable correlate was found.
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electroencephalograph, visualy evoked potentials, Fourier transform, Katz fractal dimension, Kolmogorov entropy