基于运动想象的双脑脑机接口系统设计与鼠标控制应用

脑机接口是在大脑与外部设备之间建立的直接交流通道,是脑科学的重要研究领域。目前,单被试脑机接口研究已经较为成熟,关于双脑协作的脑机接口研究还比较少。本文设计实现了一种基于运动想象的双脑协作在线脑机接口系统,利用两套脑电放大器、协同控制技术实现了系统的硬件平台搭建。算法控制部分采用信息论特征提取算法,选取共空间模式的最优空域模式和支持向量机分类,实现了双脑协作控制鼠标移动并到达指定目标。本文采用初始位置到目标位置的实际步长与理论最短步长比评价系统性能,4组(8人)的平均步长比值为1.32。研究提供了一种双脑协作脑机接口的设计方案,可用于协同控制多维度目标、提高信息传输速率、研究脑间同步、团队决策等方面的关键技术,为脑机接口进一步发展提供了新思路。

Development of Motor Imagery based Double Brain Brain-Computer Interface System and Application of Mouse-control

Brain-computer interface is a direct communication channel between the brain and the external equipment, which is an important research field of brain science. At present, single case BCI research has been more mature, while BCI research on double-brain cooperative control system is still relatively scarce. In this study, a double brain online cooperation BCI system based on motion imagination was designed and developed. The hardware platform was built by two sets of electroencephalograph amplifier and cooperative control technology. In the computer algorithm control part, the information theoretic feature extraction algorithm was applied to select the optimal spatial characteristics of the common spatial pattern . In addition, the support vector machine was also utilized to achieve the double-brain cooperative control system and the system would control the moving of the mouse and help it to reach the target. The performance of the system was evaluated by comparing the actual step size with theoretical shortest step and the average step length ratio of the 4 groups (8 subjects) is 1.32. In this study, a double-brain cooperative control BCI is developed, which would be able to assist people with controlling multidimensional target, increase the information transfer rates, promote the research about synchronization between brains, inform decision-making, and provide a new direction for development of brain-computer interface.