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DECODING SSVEP RESPONSES USING TIME DOMAIN CLASSIFICATION

机译:使用时域分类解码SSVEP响应

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In this paper, we propose a new time domain method for decoding the steady-state visual evoked potential recorded while the subject is looking at stimuli flickering with constant frequencies. Using several such stimuli, with different frequencies, a brain-computer interface can be built. We have assessed the influence of the number of electrodes on the decoding accuracy. A comparison between active wet- and bristle dry electrodes were made. The dependence between accuracy and the length of the EEG interval used for decoding was shown.
机译:在本文中,我们提出了一种新的时域方法,用于解码记录的稳态视觉诱发电位,而受试者看过恒定频率的刺激闪烁。使用若干这样的刺激,具有不同的频率,可以构建脑电脑界面。我们评估了电极数对解码精度的影响。制造有源湿和刷毛干电极之间的比较。示出了精度与用于解码的EEG间隔的长度之间的依赖性。

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