Laboratory of Brain-Computer Interfaces, Institute for Knowledge Discovery, Graz University of Technology, Krenngasse 37, Graz, Austria.
Med Biol Eng Comput. 2011 May;49(5):567-77. doi: 10.1007/s11517-011-0750-2. Epub 2011 Mar 11.
A Brain-Computer Interface (BCI) is a device that transforms brain signals, which are intentionally modulated by a user, into control commands. BCIs based on motor imagery (MI) and steady-state visual evoked potentials (SSVEP) can partially restore motor control in spinal cord injured patients. To determine whether these BCIs can be combined for grasp and elbow function control independently, we investigated a control method where the beta rebound after brisk feet MI is used to control the grasp function, and a two-class SSVEP-BCI the elbow function of a 2 degrees-of-freedom artificial upper limb. Subjective preferences for the BCI control were assessed with a questionnaire. The results of the initial evaluation of the system suggests that this is feasible.
脑-机接口（BCI）是一种将由用户有意调制的脑信号转换为控制命令的设备。基于运动想象（MI）和稳态视觉诱发电位（SSVEP）的BCI 可以部分恢复脊髓损伤患者的运动控制。为了确定这些 BCI 是否可以组合用于独立控制抓握和肘部功能，我们研究了一种控制方法，其中快速脚部 MI 后的β 反弹用于控制抓握功能，而双类 SSVEP-BCI 则用于控制 2 自由度人工上肢的肘部功能。使用问卷评估了对 BCI 控制的主观偏好。系统初步评估的结果表明这是可行的。
