Програмна модель біоелектричних сигналів на прикладі ЕЕГ

Abstract

In this paper, a mathematical model of the EEG signal is proposed in the form of a sum of harmonic oscillations with a Gaussian amplitude envelope and random phase. Based on this model, a software implementation in Python is developed, which allows generating individual rhythms and their total signal, as well as visualizing the obtained results. The developed software model can be used for further analysis of EEG characteristics, testing signal processing methods, and creating training datasets for machine learning systems