EEGg: Generating Synthetic EEG Signals in Matlab Environment

Ava  Yektaeian Vaziri; Bahador  Makkiabadi; Nasser  Samadzadehaghdam

doi:10.18502/fbt.v10i3.13165

Ava Yektaeian Vaziri Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
Bahador Makkiabadi Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
Nasser Samadzadehaghdam School of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran

DOI: https://doi.org/10.18502/fbt.v10i3.13165

Keywords: Simulated Neuro-Electrical Data; Ground-Truth Networks; Electroencephalography; Simulation; Evaluation; Brain-Computer Interface.

Abstract

Purpose: Utilizing Electroencephalogram (EEG) is more than at any time in history, therefore we have introduced an open-source MATLAB function to provide simulated EEG which is as equivalent as viable to empirical EEG in a user-friendly way with ground truth that is not accessible in real EEG records.

This function should be versatile due to the requirements such as the number and orientation of sources, various noises, mode of activation function, and different anatomical structures.

Materials and Methods: We indicate all phases, modes, and formulas which constitute EEGg, EEG generator. This function supports selecting main sources locations and orientation, choosing SNR with white Gaussian noise, electrode numbers, and mode of activation functions. Also, users have the option to use automatic or partly automatic, or fully automatic EEG construction in EEGg. This function is ready to use at https://github.com/Avayekta/EEG.

Results: EEGg is designed with several parameters that users have chosen. Hence, users can choose different variables to inspect the time and frequency aspects of synthetic EEG.

Conclusion: EEGg is a multi-purpose and comprehensive function to mimic EEG but with ground-truth EEG data and adjustable parameters.