基于视觉通路的脑电信号频谱能量分布研究
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广西大学计算机与电子信息学院南宁530004

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TN911.23

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国家自然科学基金(61161009)、广西自然科学基金(2013GXNSFAA019341)资助项目


Study on the spectrum energy distribution of the brain electrical signal based on the visual pathway
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College of Computer and Electronics and Information, Guangxi University, Nanning 530004, China

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    摘要:

    目前关于光诱发脑电信号的频谱研究主要采用实验测试方法,因缺乏理论模型而导致结论多样化。针对这一不足,结合计算模型和电生理相关知识,建立视觉通路模型,仿真不同频率光刺激下视觉通路皮层锥体细胞产生的电信号,并分析对应的频谱能量分布,最后采集相同实验环境下、不同受试者的脑电信号,与仿真结果进行比较,以此验证模型的有效性。研究结果表明:低频光刺激信号(2、5、10 Hz)更易诱发脑电信号节律同步化的响应,频谱能量主要集中在基波和低次谐波处,而由高频光刺激(30 Hz)引起响应的频谱能量主要集中在低频。

    Abstract:

    For the current research on the lightinduced brain electrical signal of spectral that focused on experimental test, due to lack of a theoretical model which led to the conclusion diversification. To solve this problem, proposed that combine computational model and electrophysiological knowledge, built visual pathway model, simulated the signals of visual pathway cortex pyramidal cells at different frequencies of light stimuli, then analysis of the corresponding spectral energy distribution, finally collected the same experimental conditions, different subjects of brain electrical signals, compared with the simulation results to verify the validity of the model. The research results show that the low frequency stimulation signals (2, 5, 10 Hz) are more likely to induce rhythm synchronization response, spectrum energy is mainly focused on the fundamental wave and low harmonics, and caused by high frequency stimulation (30 Hz) of the response which spectrum energy mainly concentrated in the low frequency.

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郭湛超,覃玉荣,龙安.基于视觉通路的脑电信号频谱能量分布研究[J].电子测量技术,2016,39(9):149-152

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  • 在线发布日期: 2016-10-17
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