Punsawad Yunyong, Siribunyaphat Nannaphat, Wongsawat Yodchanan
School of Informatics, Walailak University, Nakhon Si Thammarat, 80160 Thailand.
Informatics Innovative Center of Excellence, School of Informatics, Walailak University, Nakhon Si Thammarat, 80160 Thailand.
Heliyon. 2021 Mar 16;7(3):e06457. doi: 10.1016/j.heliyon.2021.e06457. eCollection 2021 Mar.
This paper presents an illusory visual motion stimulus-based brain-computer interface (BCI). We aim to use the proposed system to enhance the motor imagery (MI) modality. Since motor imagery requires a long time for training, a stimulation method with external stimuli through the sensory system is an alternative method for increasing efficiency. The research is divided into two parts. First, we observed the visual motion illusion pattern based on brain topographic maps for the novel BCI modality. Second, we implemented the illusory visual motion stimulus-based BCI system. Arrow and moving-arrow patterns were used to modulate alpha rhythms at the visual and motor cortex. The arrow pattern had an average classification accuracy of approximately 78.5%. Additionally, illusory visual motion stimulus-based BCI systems are proposed using the proposed feature extraction and decision-making algorithm. This proposed BCI system can control the cursor moving in the left or right direction with the designed algorithm to create five commands for assistive communication. Ten volunteers participated in the experiment, and a brain-computer interface system with motor imagery and an illusory visual motion stimulus were used to compare efficiencies. The results showed that the proposed method achieved approximately 4% higher accuracy than motor imagery. The accuracy of the proposed illusory visual motion stimulus and algorithm was approximately 80.3%. Therefore, an illusory visual motion stimulus hybrid BCI system can be incorporated into the MI-based BCI system for beginner motor imagery. Based on the results, the proposed assistive communication system can be used to enhance communication in people with severe disabilities.
本文提出了一种基于虚幻视觉运动刺激的脑机接口（BCI）。我们旨在使用所提出的系统来增强运动想象（MI）模式。由于运动想象需要很长时间进行训练，通过感觉系统施加外部刺激的刺激方法是提高效率的一种替代方法。该研究分为两部分。首先，我们基于脑地形图观察了用于新型BCI模式的视觉运动错觉模式。其次，我们实现了基于虚幻视觉运动刺激的BCI系统。箭头和移动箭头模式用于调节视觉和运动皮层的阿尔法节律。箭头模式的平均分类准确率约为78.5%。此外，使用所提出的特征提取和决策算法，提出了基于虚幻视觉运动刺激的BCI系统。该所提出的BCI系统可以通过设计的算法控制光标向左或向右移动，以创建五个用于辅助通信的命令。十名志愿者参与了实验，并使用具有运动想象和虚幻视觉运动刺激的脑机接口系统来比较效率。结果表明，所提出的方法比运动想象的准确率高出约4%。所提出的虚幻视觉运动刺激和算法的准确率约为80.3%。因此，虚幻视觉运动刺激混合BCI系统可以纳入基于MI的BCI系统，用于初学者的运动想象。基于这些结果，所提出的辅助通信系统可用于增强重度残疾人士的通信能力。
