随着科技的发展,BCI技术已有长足进步,但是其识别率和传输率低,是阻碍其走出实验室、走向实践应用一个重要原因.SSVEP即当人的眼睛的视网膜受到固定频率的刺激时,大脑视觉皮层也会产生一个相同频率的脑电信号或者是倍数频率的信号.为此,提出了基于CCA算法的快速脑机拨号系统.该系统引入用于识别和分析SSVEP信号的空间滤波器,同时将数据分析结果通过Matlab串口直接发送给下位机SIM900拨打电话.该系统不仅可以实现拨打电话功能,而且还可以实现电话的实时接听,以帮助有运动障碍的残障人士,有效保证了残障人士生活的便利.实验结果表明,基于CCA算法所构建的快速脑机拨号系统能够提取脑电信号的特征,实现准确的模式分类,其准确率达95%,ITR达到154 bit/min,为脑机接口系统推向应用提供一种新的思路和方法.%With the development of science and technology,BCI technology has made great progress,but its recognition rate and transmis-sion rate are low which constrain its application in practice. SSVEP is the phenomenon that when the retina of the human eye is stimulated by a fixed frequency,the visual cortex of the brain produces a signal of the same frequency,or multiples of the frequency. Therefore,a quick brain computer dialing system based on CCA is proposed which is used for spatial filter for identification and analysis of SSVEP signals and sends the results of data analysis through Matlab serial port to the client SIM900 call. It can not only own the function of call-ing the telephone but also have real-time answering of the telephone so as to help the disabled person with the movement disorder and ef-fectively ensure the convenience of the disabled. The experimental results show that it can extract the characteristics of EEG signal for re-alization of accurate pattern classification with accuracy rate by 95% and ITR by 154 bit/min,and has provided a new ideas and method to establish brain computer interface system for applications.
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