视觉诱发脑电信号的处理研究

Study and Processing of Visual Evoked EEG

对复杂视觉刺激条件下,大脑产生的决策脑电信号进行研究。介绍了脑机接口系统的研究方案和流程,设计了一种安全可靠的实验范式和实验过程。通过使用EEGLAB软件对视觉诱发电位进行数据处理和相关性分析。通过独立分量分析(ICA)算法对原始脑电信号进行了干扰噪声(眼电、肌电、心电)去除。指出大脑活动变化规律及特定节律的脑电波在大脑皮层的分布情况。为进一步开发实时脑电控制的电子设备完成更为复杂任务的便携式脑机接口系统提供了技术支持。

This work presents a study that generated decision-making EEG on brain under complex visual stimulation conditions.The research program and flow of brain computer interface system were introduced.A safe and reliable experimental paradigm and experimental process were designed.Visual evoked potentials were processed and correlation analysis by using EEGLAB software.ICA algorithm was used to remove the interference noise such as eye electricity,electromyography,and electrocardiogram from the original EEG signal.The changes of brain activity and the distribution of brain waves with specific rhythms were also pointed out.The studying results provide technical support for further research and development of portable brain-computer interface system that real-time brain control electronic devices to complete more complex tasks.