ASMI-BCI 特征调制及分类性能研究

基于运动想象(MI)的脑-机接口(BCI)近年来被应用于肢体运动功能的可塑性康复。采用视觉辅助刺激可以有效增强MI-BCI系统的分类性能，但视觉障碍患者无法使用。因此本文设计了基于听觉辅助刺激的ASMI-BCI,发现动态声音辅助刺激可以提高大脑运动相关皮层的兴奋性，增强系统的可分性特征。10名在校大学生(5男5女，平均22.6岁)3类实验范式(C-SW、C-DA、C-DV)的平均结果表明，C-SW范式分类正确率最低、C-DA次之、C-DV范式正确率最高。听觉辅助刺激范式的最优分类正确率可达76.03%,相比传统MI-BCI范式显著性提升了8.83%,且60%的被试使用该范式的分类正确率可高于70%。使用动态听觉辅助刺激范式可以为视觉障碍患者提供一种特征调制和BCI性能增强的新模式、新方法。

Research on feature modulation and classification performance of ASMI-BCI

Brain-computer interface (BCI) based on motor imagery (MI) has been applied to the plasticity rehabilitation of limb motor function in recent years. Visual assistant stimulus can improve the classification performance of MI-BCI. However, for users with impaired visual system, visual assistant stimulus cannot be used. Therefore, this paper designs ASMI-BCI based on auditory assistant stimulus. It has been found that dynamic acoustic assistant stimulus could improve the excitability of motor related cortex, and enhanced the separability features of related frequency bands. The average classification results of the three experimental paradigms (C-SW, CDA, C-DV ) for 10 college students (5 males and 5 females, with an average age of 22. 6 years old) showed that the classification accuracy of C-SW paradigm was the lowest, followed by C-DA, and the accuracy of C-DV paradigm was the highest. The optimal classification accuracy of the auditory assistant stimulus paradigm was 76. 03% and the average classification accuracy was significantly improved by 8. 83% compared with the traditional MI-BCI paradigm. For 60% of the subjects, the classification accuracy of this paradigm can reach higher than 70%. The dynamic auditory assistant stimulus paradigm can provide a new pattern and method of feature modulation and BCI performance enhancement for patients with visual impairment.