一种基于人体脑电信号的机械手臂控制系统研究

文章提出了一种基于脑电信号的机械手臂控制系统的设计思路。该系统主要由电极、脑电采集电路、在线检测算法、外设等部分组成。系统采用闪烁刺激使操作者产生基于稳态视觉的诱发电位信号，通过采集电路将信号送入计算机中，由软件对其进一步处理和分析，转换成相应的控制命令控制机械手臂操作。检测算法中解决了脑电信号基线漂移和能量波动问题的困扰。实验显示，系统具有很高的检测实日寸性和准确率。

Research on a mechanical arm control system based on EEG

The design method of a mechanical arm control system based on EEG（Electroencephalogram） is proposed in this paper, whose main composition units include electrodes, acquisition circuit, online detecting algorithm and outside devices. The twinkle stimulation is used in this system to induce the operator to produce SSVEP（Steady-State Visual Evoked Potential） signals, and the further process and analysis are completed by software after signals being sent into the PC via an acquisition circuit. The twinkle frequency of stimulator will be extracted and converted into corresponding commands to control a mechanical arm. The beset of the fluctuation of EEG energy is solved in algorithm. Experimental results show that the system has excellent performances of real-time and accuracy in detection.