Gu Ying, Dremstrup Kim, Farina Dario
Center for Sensory-Motor Interaction (SMI), Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Clin Neurophysiol. 2009 Aug;120(8):1596-600. doi: 10.1016/j.clinph.2009.05.006. Epub 2009 Jun 16.
The study explored the possibility of identifying movement type and speed from EEG recordings.
EEG signals were acquired from 9 healthy volunteers during imagination of four tasks of the right wrist that involved two speeds (fast and slow) and two types of movement (wrist extension and rotation), each repeated 60 times in random order. Average movement-related cortical potentials (MRCPs) were compared among the four tasks. Moreover, single-trial classification was performed using the rebound rate of MRCP and the power in the mu and beta bands as features.
The rebound rate of the average MRCPs was greater for faster than for slower movements but did not depend on the type of movement. Accordingly, pairs of tasks executed at different speeds led to lower misclassification rate than pairs of tasks executed at the same speed. The average misclassification rate between task pairs was 21+/-2% for the best channel and task pair.
The task parameter speed can be discriminated in single-trial EEG traces with greater accuracy than the type of movement when tasks are executed at the same joint.
The speed of movement execution may be included among the variables that characterize imagined tasks for brain-computer interface applications.
本研究探讨了从脑电图记录中识别运动类型和速度的可能性。
从9名健康志愿者身上采集脑电图信号，他们在想象右手腕的四项任务时进行，这些任务涉及两种速度（快和慢）和两种运动类型（手腕伸展和旋转），每项任务以随机顺序重复60次。比较了四项任务之间的平均运动相关皮层电位（MRCPs）。此外，以MRCP的反弹率以及μ和β频段的功率为特征进行了单次试验分类。
平均MRCPs的反弹率在快速运动时高于慢速运动，但不取决于运动类型。因此，以不同速度执行的任务对的误分类率低于以相同速度执行的任务对。对于最佳通道和任务对，任务对之间的平均误分类率为21±2%。
当在同一关节执行任务时，在单次试验脑电图记录中，任务参数速度比运动类型能更准确地区分。
运动执行速度可能包含在用于脑机接口应用的想象任务特征变量之中。
