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Time Domain Features for Relationship between Speed and Slow Potentials Activity during Periodic Movement and Motor Imagery at Fast and Slow for BCRI

机译:时间域特征,用于速度和慢速潜力活动期间的周期性运动和电动机的慢速和慢速和慢速

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Time domain features of slow potentials (S2 Hz) during periodic movement and motor imagery at fast and slow (4 Hz and 2 Hz) were investigated in 4 healthy subjects by event-related potentials in the paper. EEG was recorded from 64 electrodes and 9 closely spaced electrodes overlaying the left and right sensorimotor area were analyzed. The subjects performed 40 fast and 40 slow (paced by metronome) movement and motor imagery of six tasks that involved three limbs (left and right index fingers and right toes) at first-person perspective. In addition, the subjects also performed motor imagery involved left and right arms and feet at third-person perspective. Based on brain processing mainly involved with the slow potentials during periodic movement and motor imagery, event-related potentials were low-pass filtered with 2 Hz cut-off frequency (24dB/oct). At CI, Cz, and C2, fast movement-related potentials had a larger positive slow potentials tendency than slow movement-related potentials 1.5 s after movement onset. In contrast to movement, slow motor imagery-related potentials had a larger positive slow potentials tendency than fast motor imagery-related potentials 1.75 s after motor imagery onset at these electrodes. Time delays reaching positive peak and rebound rate after peak were also explored. These results may be very important for further exploring relationship between speed and EEG activity during periodic movement and motor imagery. The study may provide a strategy to realize fine control of robots by brain-controlled robot interface.
机译:通过纸张的事件相关电位在4个健康的受试者中研究了周期性运动和运动图像期间慢电位(S2 Hz)的时域特征。从64个电极记录eeg,分析了覆盖左右感觉电极区域的9个电极和9个紧密间隔的电极。受试者执行40次快速,40次慢速(由节拍器节奏)运动和电动机图像,六个任务涉及在第一人称视角下涉及三肢(左索引手指和右脚脚趾)。此外,受试者还通过第三人称的观点执行了涉及左右臂和脚的电动图像。基于主要涉及周期运动和电动机图像的慢电位的脑加工,事件相关电位是低通滤波,具有2 Hz截止频率(24dB / OCT)。在CI,CZ和C2,快速运动相关电位具有比运动发作后的慢速运动相关电位1.5秒更大的正慢势趋势。与运动相比,与在这些电极上的电动机图像开始后,慢动动量的电动机相关电位具有比快速电动机图像相关电位1.75s更大的正电位倾向。探讨了峰值后达到正高峰和反弹率的时间延迟。这些结果对于在周期性运动和电动机图像期间进一步探索速度和脑电图活动之间的关系非常重要。该研究可以通过脑控制的机器人界面来提供实现对机器人的精细控制的策略。

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