Objective The stimulus color of P300-BCI systems has been successfully modified. However, the effects of different color combinations have not been widely investigated. In this study, we designed new stimulus patterns to evaluate the influence of color modulation on the BCI performance and waveforms of the evoked related potential (ERP).Methods Comparison was performed for three new stimulus patterns consisting of red face and colored block-shape, namely, red face with a white rectangle (RFW), red face with a blue rectangle (RFB), and red face with a red rectangle (RFR). Bayesian linear discriminant analysis (BLDA) was used to construct the individual classifier model. Repeated-measures ANOVA and Bonferroni correction were applied for statistical analysis. Results The RFW pattern obtained the highest average online accuracy with 96.94%, and those of RFR and RFB patterns were 93.61% and of 92.22% respectively. Significant differences in online accuracy and information transfer rate (ITR) were found between RFW and RFR patterns (p < 0.05). Conclusion Compared with RFR and RFB patterns, RFW yielded the best performance in P300-BCI. These new stimulus patterns with different color combinations have considerable importance to BCI applications and user-friendliness.

目的成功修改了P300-BCI系统的刺激颜色。然而，不同颜色组合的效果尚未得到广泛研究。在这项研究中，我们设计了新的刺激模式来评估颜色调制对 BCI 性能和诱发相关电位 (ERP) 波形的影响。方法对由红脸和彩色块组成的三种新刺激模式进行比较，即红脸白矩形（RFW）、红脸蓝矩形（RFB）和红脸红矩形（RFR）。 ）。贝叶斯线性判别分析（BLDA）用于构建个体分类器模型。应用重复测量方差分析和 Bonferroni 校正进行统计分析。结果RFW 模式的平均在线准确率最高，为 96.94%，RFR 和 RFB 模式分别为 93.61% 和 92.22%。RFW 和 RFR 模式在在线准确率和信息传输率 (ITR) 方面存在显着差异（p  < 0.05）。结论与 RFR 和 RFB 模式相比，RFW 在 P300-BCI 中的性能最好。这些具有不同颜色组合的新刺激模式对于 BCI 应用程序和用户友好性具有相当重要的意义。