Ma Teng, Li Hui, Deng Lili, Yang Hao, Lv Xulin, Li Peiyang, Li Fali, Zhang Rui, Liu Tiejun, Yao Dezhong, Xu Peng
Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, People's Republic of China.
J Neural Eng. 2017 Apr;14(2):026015. doi: 10.1088/1741-2552/aa5d5f. Epub 2017 Feb 1.
Movement control is an important application for EEG-BCI (EEG-based brain-computer interface) systems. A single-modality BCI cannot provide an efficient and natural control strategy, but a hybrid BCI system that combines two or more different tasks can effectively overcome the drawbacks encountered in single-modality BCI control.
In the current paper, we developed a new hybrid BCI system by combining MI (motor imagery) and mVEP (motion-onset visual evoked potential), aiming to realize the more efficient 2D movement control of a cursor.
The offline analysis demonstrates that the hybrid BCI system proposed in this paper could evoke the desired MI and mVEP signal features simultaneously, and both are very close to those evoked in the single-modality BCI task. Furthermore, the online 2D movement control experiment reveals that the proposed hybrid BCI system could provide more efficient and natural control commands.
The proposed hybrid BCI system is compensative to realize efficient 2D movement control for a practical online system, especially for those situations in which P300 stimuli are not suitable to be applied.
运动控制是基于脑电图的脑机接口（EEG-BCI）系统的一项重要应用。单一模态的脑机接口无法提供高效且自然的控制策略，但结合两种或更多不同任务的混合脑机接口系统能够有效克服单一模态脑机接口控制中遇到的缺点。
在本文中，我们通过结合运动想象（MI）和运动起始视觉诱发电位（mVEP）开发了一种新型混合脑机接口系统，旨在实现对光标更高效的二维运动控制。
离线分析表明，本文提出的混合脑机接口系统能够同时诱发所需的运动想象和运动起始视觉诱发电位信号特征，且两者都与单一模态脑机接口任务中诱发的特征非常接近。此外，在线二维运动控制实验表明，所提出的混合脑机接口系统能够提供更高效、自然的控制指令。
所提出的混合脑机接口系统对于实现实用在线系统的高效二维运动控制具有补充作用，特别是对于那些不适合应用P300刺激的情况。
