一种基于SSVEP的脑-机接口阅读系统

针对目前基于脑-机接口(BCI)的应用系统较少的问题,设计了一个可以帮助严重运动障碍残疾人实现书籍阅读的系统。系统基于稳态视觉诱发电位(SSVEP)脑-机接口,采用CPLD平台设计视觉刺激模块,运用典型相关分析(CCA)算法在Visual C++平台上设计一个实时在线程序采集,分析脑电信号,并产生控制信号用于控制鼠标移动和阅读器翻页等操作。通过八位受试者的实验数据表明,设计的SSVEP脑-机接口阅读系统,产生控制指令的正确率高达94.8%,信息传输率(ITR)为40.98比特/分钟。该系统可以有效改善严重运动障碍残疾人无法与外界交流的生活现状,提高残疾人的生活品质。

A Brain-computer Interface Book Reader Based on SSVEP

Since application systems based on brain-computer interface (BCI) were rare, a system was designed for helping people with severe motor disabilities read books. Based on steady-state visual evoked potential (SSVEP), the system used CPLD platform to design the visual stimuli module. On the Visual C++ platform, a real-time program designed with canonical correlation analysis (CCA) was applied to extract and analyze electroencephalogram. In the end, control signals generated by the real-time program were acquired to control mouse movement and book reader operations like page turning. The system was tested on eight subjects, and the result showed that the accuracy rate of sending control commands and information transfer rate (ITR) over eight subjects were 94.8% and 40.98 bit/min respectively. This system can effectively improve the living conditions of people with disabilities who cannot communicate with the outside world.