Zheng Li, Wang Yijun, Pei Weihua, Chen Hongda
Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:3058-3061. doi: 10.1109/EMBC.2019.8857617.
To realize asynchronous control of a brain-computer interface (BCI) system, a fast brain switch with low false positive rate (FPR) is required. This paper proposed a brain switch based on code-modulated visual-evoked potential (c-VEP), in which seven 8-bit pseudorandom codes were used to modulate the electroencephalogram (EEG) signal. This study optimized and demonstrated the control strategy through an offline and an online experiments. By decoding the brain state continuously with the task-related component analysis (TRCA) algorithm, the brain switch achieved an average reaction time (RT) of 1.72 seconds and an average idle time of 183.53 seconds without false positive events in the online experiment.
为了实现脑机接口（BCI）系统的异步控制，需要一个具有低误报率（FPR）的快速脑开关。本文提出了一种基于编码调制视觉诱发电位（c-VEP）的脑开关，其中使用七个8位伪随机码来调制脑电图（EEG）信号。本研究通过离线和在线实验对控制策略进行了优化和验证。通过使用任务相关成分分析（TRCA）算法连续解码脑状态，该脑开关在在线实验中实现了平均反应时间（RT）为1.72秒，平均空闲时间为183.53秒，且无误报事件。
