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目的 实现脑电信号的采集和处理,准确提取脑电信号中稳态视觉诱发电位(SSVEP)特征.方法 8通道脑电信号采集设备采集LED闪烁视觉刺激诱发的脑电信号,并实现原始脑电信号数字化;基于An-droid手机的数字信号处理平台通过蓝牙接收数字脑电信号并对其进行频谱分析,最后提取出SSVEP特征.结果 10名志愿者参与实验,特征识别平均正确率高于90％.结论 脑电信号采集装置可以获得高信噪比的脑电信号,数字信号处理程序可以有效地检测到稳态视觉诱发电位.体积小、功耗低、便携等优点可使之用于开发诸多脑电相关应用,如睡眠监测,意念电话,智能轮椅控制等.“,”Objective To achieve EEG signal acquisition and processing,and extract the steady-state visual evoked potential (SSVEP) from the EEG signal accurately.Methods 8-channel EEG acquisition equipment was used to record the EEG signal evoked by LED flashing stimuli,and the original EEG signal was digitalized.The digital signal processing platform deployed on Android based phone received the digital EEG signal through Bluetooth and then spectrum analysis was conducted and the SSVEPs extracted.Results Ten volunteers participated in the experiment,and the average accuracy of feature recognition was higher than 90％.Conclusion EEG signal acquisition device can obtain EEG signals with high signal-to-noise ratio.The digital signal processing program can effectively detect SSVEPs.The merits including small in size,low power consumption and portability contribute to applying the designed system in EEG related applications such as sleep monitoring,mental telephone and intelligent wheelchair control,etc.