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A Study of the Role of Attention in Classifying Covert and Overt Motor Activities

机译:注意在隐性和显性运动活动分类中的作用研究

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In recent years motor imagery-based brain-computer interface (MI-BCI) is widely used in the rehabilitation of stroke patients and received certain therapeutic effect. The existing imagery mode of brain-computer interface focuses more on the aspect of pure motor imagery and less on the experimental ways of combining other motion and imagination. In this paper, aiming at studying the role of attention in the context of classifying covert and overt motor activities, we design different experiments to explore it in different modes. In our experiments, covert activities are only motor imagery. Overt motor activities are divided into two types-attention to the screen and attention to intended hand. The classification accuracy of six subjects in three modes are compared and analyzed. The average accuracy of overt motor activities with attention to intended hand is the highest, which are respectively 3% and 5% higher than those of covert activities and overt motor activities with attention to screen. At the same time, overt motor activities with attention to intended hand induce more active brain areas according to the spatial pattern of the corresponding EEG data.
机译:近年来,基于运动图像的脑机接口(MI-BCI)被广泛用于中风患者的康复治疗,并获得了一定的治疗效果。现有的脑机接口图像模式更多地集中在纯运动图像方面,而很少关注结合其他运动和想象力的实验方法。在本文中,为了研究注意在隐性和显性运动活动分类中的作用,我们设计了不同的实验以不同的方式对其进行探索。在我们的实验中,秘密活动仅是运动图像。公开的运动活动分为两种类型:注意屏幕和注意预期的手。对三种模式下六个主题的分类准确性进行了比较和分析。注意手部明显运动的平均准确度最高,分别比秘密活动和注意屏幕的明显运动的平均准确度高3%和5%。同时,根据相应的EEG数据的空间模式,对预期手的明显运动活动会诱发更多活跃的大脑区域。

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