Modeling of visual evoked potentials
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Abstract
The task of visual evoked potentials (VEP) signals simulation was considered. The new model of VEP which consists of separate components to describe the evoked potential and background EEG, was proposed. The model parameters are amplitudes and latencies of VEP components and spectral characteristics of brain background electrical activity.
The results of simulation of VEP signals with usage of experimentally obtained amplitude-time characteristics of real VEP and EEG signals are presented. Amplitude-time characteristics of healthy patients were used. During experiments, conventional approach to analysis of evoked potentials, namely the averaging of measurements over all trials was used, which is the optimal way to improve signal-to-noise ratio when the evoked potential is a deterministic signal mixed with independent zero mean additive background noise. The model of VEP signal was constructed for the case of healthy patient as the result.
References 8, figures 7, tables 2.
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References
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