Long Jinyi, Li Yuanqing, Wang Hongtao, Yu Tianyou, Pan Jiahui
School of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, China.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:6727-30. doi: 10.1109/EMBC.2012.6347538.
In this paper, a hybrid BCI system was described for the control of a simulated wheelchair. This hybrid BCI was based on the motor imagery-based mu rhythm and the P300 potential. With our paradigm, the user may perform left- or right-hand imagery to control the direction (left or right turn) of the simulated wheelchair. Furthermore, a hybrid manner was used for speed control: e.g., foot imagery without button attention for deceleration and a specific button attention without any motor imagery for acceleration. An experiment based on a simulated wheelchair in virtual environment was conducted to assess the BCI control. Subjects effectively steered the simulated wheelchairs by controlling the direction and speed with our hybrid BCI system. Data analysis validated that our hybrid BCI system can be used to control the direction and speed of a simulated wheelchair.
本文描述了一种用于控制模拟轮椅的混合脑机接口（BCI）系统。这种混合BCI基于基于运动想象的μ节律和P300电位。在我们的范式中，用户可以进行左手或右手想象来控制模拟轮椅的方向（左转或右转）。此外，采用了混合方式进行速度控制：例如，不关注按钮的脚部想象用于减速，不进行任何运动想象的特定按钮关注用于加速。在虚拟环境中基于模拟轮椅进行了一项实验，以评估BCI控制。受试者通过我们的混合BCI系统控制方向和速度，有效地操纵了模拟轮椅。数据分析验证了我们的混合BCI系统可用于控制模拟轮椅的方向和速度。
