Zheng Chenguang, Liu Yang, Xiao Xiaolin, Zhou Xiaoyu, Xu Fangzhou, Xu Minpeng, Ming Dong
Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, P. R. China.
School of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin 300072, P. R. China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2023 Feb 25;40(1):155-162. doi: 10.7507/1001-5515.202205090.
Steady-state visual evoked potential (SSVEP) has been widely used in the research of brain-computer interface (BCI) system in recent years. The advantages of SSVEP-BCI system include high classification accuracy, fast information transform rate and strong anti-interference ability. Most of the traditional researches induce SSVEP responses in low and middle frequency bands as control signals. However, SSVEP in this frequency band may cause visual fatigue and even induce epilepsy in subjects. In contrast, high-frequency SSVEP-BCI provides a more comfortable and natural interaction despite its lower amplitude and weaker response. Therefore, it has been widely concerned by researchers in recent years. This paper summarized and analyzed the related research of high-frequency SSVEP-BCI in the past ten years from the aspects of paradigm and algorithm. Finally, the application prospect and development direction of high-frequency SSVEP were discussed and prospected.
近年来，稳态视觉诱发电位（SSVEP）在脑机接口（BCI）系统研究中得到了广泛应用。SSVEP-BCI系统的优点包括分类准确率高、信息转换速率快和抗干扰能力强。大多数传统研究诱导低频和中频带的SSVEP反应作为控制信号。然而，该频段的SSVEP可能会导致受试者视觉疲劳，甚至诱发癫痫。相比之下，高频SSVEP-BCI尽管其幅度较低且反应较弱，但提供了更舒适和自然的交互方式。因此，近年来它受到了研究人员的广泛关注。本文从范式和算法方面总结分析了过去十年高频SSVEP-BCI的相关研究。最后，对高频SSVEP的应用前景和发展方向进行了探讨和展望。
