闪光视觉诱发电位在脑机接口中的应用研究
PPLIED RESEARCH OF FLASH STEADY STATE VISUAL EVOKED POTENTIAL ON BRAIN-COMPUTER INTERFACE
运用叠加平均与快速傅立叶变化相结合的方法，提取大脑皮层的稳态视觉诱发电位(steady state visual evoked potential, SSVEP)信号，并作为输入信号应用于脑控机器人系统。通过实验确定了测试电极、视觉刺激颜色与背景亮度等模式参数，并且研究了不同使用者在不同视觉刺激频率下的SSVEP幅值变化趋势。研究结果表明，该方法能更好地提高信噪比，提取出的稳态视觉诱发电位信号能够准确反映使用者的控制意图，应用于脑控机器人系统，取得了很好的效果。
method combing average and FFT is proposed to acquire SSVEP from pallium and apply it to brain-robot system as its input signal. Mode parameters, such as testing electrodes and luminance of background and color of visual stimulation, are confirmed by experiments. Users have different SSVEP amplitudes under different stimulative frequencies. The result show that this method can get higher signal noise rate and SSVEP can reflect the control purposes of users and can be applied to brain-robot system.
刘莹、黄漫玲、吴平东、毕路拯
电子技术应用计算技术、计算机技术自动化技术、自动化技术设备
稳态视觉诱发电位脑机接口脑电
SSVEPBCIEEG
刘莹,黄漫玲,吴平东,毕路拯.闪光视觉诱发电位在脑机接口中的应用研究[EB/OL].(2008-10-08)[2025-08-16].http://www.paper.edu.cn/releasepaper/content/200810-97.点此复制
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