The human best response frequency band for steady-state visual evoked potential stimulus is limited. This results in a reduced number of encoded targets. To circumvent this, we proposed a brain–computer interface (BCI) method based on light-flashing and motion hybrid coding. The hybrid paradigm pattern consisted of a circular light-flashing pattern and a motion pattern located in the inner ring of light-flashing pattern. The motion and light-flashing patterns had different frequencies. This study used five frequencies to encode nine targets. The motion frequency and the light-flashing frequency of the hybrid paradigm consisted of two frequencies in five frequencies. The experimental results showed that the hybrid paradigm could induce stable motion frequency, light-flashing frequency and its harmonic components. Moreover, the modulation between motion and light-flashing was weak. The average accuracy was 92.96% and the information transfer rate was 26.10 bits/min. The experimental results showed that the proposed method could be considered for practical BCI systems.

稳态视觉诱发电位刺激的人类最佳响应频带是有限的。这导致编码目标的数量减少。为了避免这种情况，我们提出了一种基于闪光和运动混合编码的脑机接口（BCI）方法。混合范式图案由圆形闪光图案和位于闪光图案内环的运动图案组成。运动和闪光模式具有不同的频率。本研究使用五个频率来编码九个目标。混合范式的运动频率和闪光频率由五个频率中的两个频率组成。实验结果表明，混合范式可以诱导稳定的运动频率、闪光频率及其谐波分量。而且，运动和闪光之间的调制很弱。平均准确率为 92.96%，信息传输速率为 26.10 位/分钟。实验结果表明，所提出的方法可以考虑用于实际的 BCI 系统。