EEG & BCI Laboratory, Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA.
Clin Neurophysiol. 2010 Aug;121(8):1293-303. doi: 10.1016/j.clinph.2010.02.157. Epub 2010 Mar 29.
Patients usually require long-term training for effective EEG-based brain-computer interface (BCI) control due to fatigue caused by the demands for focused attention during prolonged BCI operation. We intended to develop a user-friendly BCI requiring minimal training and less mental load.
Testing of BCI performance was investigated in three patients with amyotrophic lateral sclerosis (ALS) and three patients with primary lateral sclerosis (PLS), who had no previous BCI experience. All patients performed binary control of cursor movement. One ALS patient and one PLS patient performed four-directional cursor control in a two-dimensional domain under a BCI paradigm associated with human natural motor behavior using motor execution and motor imagery. Subjects practiced for 5-10min and then participated in a multi-session study of either binary control or four-directional control including online BCI game over 1.5-2h in a single visit.
Event-related desynchronization and event-related synchronization in the beta band were observed in all patients during the production of voluntary movement either by motor execution or motor imagery. The online binary control of cursor movement was achieved with an average accuracy about 82.1+/-8.2% with motor execution and about 80% with motor imagery, whereas offline accuracy was achieved with 91.4+/-3.4% with motor execution and 83.3+/-8.9% with motor imagery after optimization. In addition, four-directional cursor control was achieved with an accuracy of 50-60% with motor execution and motor imagery.
Patients with ALS or PLS may achieve BCI control without extended training, and fatigue might be reduced during operation of a BCI associated with human natural motor behavior.
The development of a user-friendly BCI will promote practical BCI applications in paralyzed patients.
由于长时间进行脑-机接口(BCI)操作需要集中注意力,患者通常需要进行长期的训练,以实现有效的基于脑电图的 BCI 控制,这会导致疲劳。我们旨在开发一种需要最少培训和较少精神负担的用户友好型 BCI。
我们测试了 3 名肌萎缩侧索硬化症(ALS)患者和 3 名原发性侧索硬化症(PLS)患者的 BCI 性能,这些患者以前没有 BCI 经验。所有患者均进行了光标移动的二进制控制。1 名 ALS 患者和 1 名 PLS 患者在 BCI 范式下进行了二维域中的四向光标控制,该范式与人类自然运动行为相关联,使用运动执行和运动想象。受试者练习了 5-10 分钟,然后在单次就诊中参加了二进制控制或四向控制的多会话研究,包括在线 BCI 游戏,时长为 1.5-2 小时。
在自愿运动的产生过程中,所有患者在运动执行或运动想象时都观察到了β频段的事件相关去同步和事件相关同步。使用运动执行和运动想象,在线光标移动的二进制控制平均准确率分别约为 82.1+/-8.2%和 80%,而离线准确率分别约为 91.4+/-3.4%和 83.3+/-8.9%,经过优化后。此外,使用运动执行和运动想象,四向光标控制的准确率分别约为 50-60%。
ALS 或 PLS 患者可以在没有扩展培训的情况下实现 BCI 控制,并且在与人类自然运动行为相关联的 BCI 操作过程中可能会减轻疲劳。
用户友好型 BCI 的开发将促进瘫痪患者实际应用 BCI。