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AUTOMATIC DETECTION OF READINESS POTENTIAL

机译:自动检测准备潜力

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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:人类自愿运动之前在脑电图(EEG)数据中看到的变化之一是皮层电势,称为就绪电势(RP)。通过将基于称为SOBI(二阶盲识别)的二阶统计量的盲源分离算法应用于整个头部EEG,我们证明了在事件(运动或运动的观察)之前,已提取了具有与特征相似的特征的源。 RP。基于该波为RP波的假设,提出了一种模板匹配的方法来自动检测RP波。该方法应用于四名受试者的脑电图数据,其中RP的检出率在82.5%至100%之间。

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