EEG: Matlab环境下合成脑电信号的生成

Q3 Health Professions
Ava Yektaeian Vaziri, B. Makkiabadi, N. Samadzadehaghdam
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引用次数: 0

摘要

目的:利用脑电图(EEG)比历史上任何时候都要多,因此我们引入了一个开源的MATLAB函数,以用户友好的方式提供与经验脑电图同等可行的模拟脑电图,并具有真实脑电图记录中无法获得的基础真相。由于声源的数量和方向、各种噪声、激活函数的模式以及解剖结构的不同等要求,该函数应该是多功能的。材料和方法:我们指出了构成EEG, EEG发生器的所有相,模式和公式。该功能支持选择主源位置和方向,选择高斯白噪声信噪比,电极数量和激活函数模式。此外,用户还可以选择在EEG中使用自动或部分自动或全自动的EEG构建。这个函数可以在https://github.com/Avayekta/EEG上使用。结果:EEGg是根据用户选择的几个参数设计的。因此,用户可以选择不同的变量来检查合成EEG的时间和频率方面。结论:EEG是一种多用途、功能全面的模拟EEG的方法,具有真实的EEG数据和可调的参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EEGg: Generating Synthetic EEG Signals in Matlab Environment
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.
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来源期刊
Frontiers in Biomedical Technologies
Frontiers in Biomedical Technologies Health Professions-Medical Laboratory Technology
CiteScore
0.80
自引率
0.00%
发文量
34
审稿时长
12 weeks
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