Kanoh Shin'ichiro, Miyamoto Ko-ichiro, Yoshinobu Tatsuo
Department of Electronics and Intelligent Systems, Tohoku Institute of Technology, Yagiyama-Kasumicho 35-1, Taihaku, Sendai, 982-8577 Japan.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:1703-6. doi: 10.1109/EMBC.2012.6346276.
To detect the imagined limb movement from EEG for the use in BCI, the increase (ERS) and decrease (ERD) of the band power of the EEG originated from the sensorimotor cortex are commonly used. A spatial filter using neighboring channels is generally applied to the measured EEG for detecting such brain activity related to the motor imagery. However, the configuration and location of the spatial filter have been selected by the empirical method on trial-and-error basis. In this study, we recorded the EEG during motor imagery of left hand, right hand and feet from five subjects, and the ICA (independent component analysis) was applied to discover the spatial filters for extracting event-related EEG components of the motor imagery. It was suggested that the application of ICA might offer the experimenters appropriate local spatial filters, or at least, the "initial guess" for designing or selecting custom local spatial filters.
为了从脑电图（EEG）中检测想象的肢体运动以用于脑机接口（BCI），源自感觉运动皮层的脑电图频段功率的增加（事件相关同步，ERS）和减少（事件相关去同步，ERD）通常被采用。一种使用相邻通道的空间滤波器通常被应用于测量的脑电图，以检测与运动想象相关的这种脑活动。然而，空间滤波器的配置和位置是通过反复试验的经验方法选择的。在本研究中，我们记录了五名受试者在左手、右手和脚部运动想象期间的脑电图，并应用独立成分分析（ICA）来发现用于提取运动想象的事件相关脑电图成分的空间滤波器。结果表明，ICA的应用可能为实验者提供合适的局部空间滤波器，或者至少为设计或选择定制的局部空间滤波器提供“初始猜测”。
