倒水：从脑电图信号中持续解码三维手部动作的速度
Filling a glass of water: continuously decoding the speed of 3D hand movements from EEG signals.
作者信息
Heger Dominic, Jäkel Rainer, Putze Felix, Lösch Martin, Schultz Tanja
机构信息
Cognitive Systems Lab, Institute for Anthropomatics, Karlsruhe Institute of Technology, Adenauerring 4, 76131 Karlsruhe, Germany.
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:4095-8. doi: 10.1109/EMBC.2012.6346867.
We present a new system for the continuous decoding of hand movement speed in three-dimensional (3D) space from EEG signals. We recorded experimental data of five subjects during mimicking the natural task of filling a glass of water. The proposed system uses filter bank common spatial patterns and linear regression to estimate the speed of hand movements from artifact cleaned EEG signals. Average Pearson correlations between the speed trajectories predicted from EEG and the speed trajectories measured using a high-precision motion tracking system are r=0.41 for the x-axis, r=0.36 for the y-axis, r=0.48 for the z-axis, and r=0.17 for absolute speed in 3D space.
我们提出了一种新系统，用于从脑电图（EEG）信号中连续解码三维（3D）空间中的手部运动速度。我们记录了五名受试者在模拟自然任务——倒一杯水时的实验数据。所提出的系统使用滤波器组公共空间模式和线性回归，从去除伪迹的EEG信号中估计手部运动速度。从EEG预测的速度轨迹与使用高精度运动跟踪系统测量的速度轨迹之间的平均皮尔逊相关系数，在x轴上为r = 0.41，在y轴上为r = 0.36，在z轴上为r = 0.48，在3D空间中的绝对速度为r = 0.17。
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