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Determination of optimal frequency ranges using common spatial pattern images

机译:使用常见的空间图案图像确定最佳频率范围

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摘要

In this paper we present brain maps constructed for Visualization of Arrow Movement (VAM) mental tasks with EEG signals recorded from 20 locations on the scalp. Method of Common Spatial Patterns (CSP) is employed to generate the spatial maps after filtering raw EEG signals into nine different frequency bands. Separate CSPs were obtained for six subjects who participated in this study. These brain maps show distinct spatial patterns that can be used for distinguishing two mental tasks in VAM. For every subject, optimal frequency range which is useful in distinguishing mental tasks in VAM was obtained.
机译:在本文中,我们介绍了脑图,该图用于从箭头头皮上20个位置记录的EEG信号可视化箭头运动(VAM)心理任务。在将原始EEG信号过滤到9个不同的频带中之后,采用公共空间模式方法(CSP)生成空间图。为参加本研究的六名受试者获得了单独的CSP。这些脑图显示了可用于区分VAM中两个心理任务的独特空间模式。对于每个对象,获得了可用于区分VAM中的心理任务的最佳频率范围。

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