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首页> 外文期刊>Journal of Neuroscience Methods >Sequence detection analysis based on canonical correlation for steady-state visual evoked potential brain computer interfaces
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Sequence detection analysis based on canonical correlation for steady-state visual evoked potential brain computer interfaces

机译:基于典范相关性的稳态视觉诱发电位脑计算机接口序列检测分析

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摘要

Background: Steady-state visual evoked potential (SSVEP) has been widely applied to develop brain computer interface (BCI) systems. The essence of SSVEP recognition is to recognize the frequency component of target stimulus focused by a subject significantly present in EEG spectrum.
机译:背景:稳态视觉诱发电位(SSVEP)已被广泛应用于开发脑计算机接口(BCI)系统。 SSVEP识别的本质是识别明显存在于EEG频谱中的对象聚焦的目标刺激的频率成分。

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