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AUTOMATIC DETECTION OF READINESS POTENTIAL

机译:自动检测准备潜力

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摘要

One of the changes seen in Electroencephalography (EEG) data preceding human voluntary movement is a cortical potential called Readiness Potential (RP). By applying Blind Source Separation algorithm based on second-order statistics called SOBI (second-order blind identification) to the whole head EEG, we showed that before the event (movement or observation of movement) a source is extracted that has features similar to the RP. Based on the assumption that this wave is RP a method with template matching is proposed to detect the RP wave automatically. The method was applied to EEG data of four subjects and the RP detection rate among them was between 82.5% and 100%.
机译:在人自愿运动之前的脑电图(EEG)数据中看到的一个变化是一种称为准备潜力(RP)的皮质潜力。通过将基于二阶统计信息的盲源分离算法应用于整个头部EEG,我们在事件(运动或移动观察)之前,提取了具有类似的功能的源rp。基于该波是RP的假设,提出了一种模板匹配的方法,以自动检测RP波。将该方法应用于四个受试者的EEG数据,并且它们之间的RP检测率在82.5%和100%之间。

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