摘要
目的设计与研究将稳态视觉诱发电位作为输入信号的脑机接口系统。系统以显示器图形闪烁模块作为稳态视觉诱发电位的刺激源,经过滤波、放大等信号预处理后,对采集到的脑电信号中的稳态视觉诱发电位成分采用一种基于滑动窗的迭代式逐点频谱监测方法进行诱发电位的特征提取和识别,并将其转换为相应的控制命令以实现对伺服机械手臂6种运动方向的实时控制。实验结果表明系统能够较好的反应实验者的控制意图,基于SSVEP的脑机接口系统具有较高的可行性和实用性。
In order to design steady-state visual evoked potentials as brain-computer interface system＇s input signal,this paper takes graphical flashing module in computer as the stimuli of steady-state visual evoked potentials.Through filter and amplification,the steady-state visual evoked potentials of EEG is extracted and iterative frequency spectrum detection which is by point based on sliding window.Then the evoked potentials is transformed to corresponding control command to realize the 6 kinds of motion directions real-time control of mechanical arms.
出处
《工业控制计算机》
2011年第5期8-9,11,共3页
Industrial Control Computer
关键词
稳态视觉诱发电位
脑机接口
频谱监测
机械手臂
steady-state visual evoked potential
brain-computer interface
frequency spectrum
mechanical arm.
