He Bin, Baxter Bryan, Edelman Bradley J, Cline Christopher C, Ye Wendy
Department of Biomedical Engineering, University of Minnesota.
Institute for Engineering in Medicine, University of Minnesota.
Proc IEEE Inst Electr Electron Eng. 2015 Jun;103(6):907-925. doi: 10.1109/jproc.2015.2407272. Epub 2015 May 20.
Brain-computer interfaces (BCIs) have been explored in the field of neuroengineering to investigate how the brain can use these systems to control external devices. We review the principles and approaches we have taken to develop a sensorimotor rhythm EEG based brain-computer interface (BCI). The methods include developing BCI systems incorporating the control of physical devices to increase user engagement, improving BCI systems by inversely mapping scalp-recorded EEG signals to the cortical source domain, integrating BCI with noninvasive neuromodulation strategies to improve learning, and incorporating mind-body awareness training to enhance BCI learning and performance. The challenges and merits of these strategies are discussed, together with recent findings. Our work indicates that the sensorimotor-rhythm-based noninvasive BCI has the potential to provide communication and control capabilities as an alternative to physiological motor pathways.
脑机接口（BCIs）已在神经工程领域得到探索，以研究大脑如何利用这些系统来控制外部设备。我们回顾了我们为开发基于感觉运动节律脑电图的脑机接口（BCI）所采用的原理和方法。这些方法包括开发结合物理设备控制的BCI系统以提高用户参与度，通过将头皮记录的脑电信号反向映射到皮质源域来改进BCI系统，将BCI与非侵入性神经调节策略相结合以改善学习，以及纳入身心觉知训练以增强BCI学习和性能。讨论了这些策略的挑战和优点以及近期的研究结果。我们的工作表明，基于感觉运动节律的非侵入性BCI有潜力提供通信和控制能力，作为生理运动通路的替代方案。
