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首页> 外文期刊>Network Daily News >New Engineering Findings from Seoul National University of Science and Technology Outlined (Subject-invariant Deep Neural Networks Based On Baseline Correction for Eeg Motor Imagery Bci)
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New Engineering Findings from Seoul National University of Science and Technology Outlined (Subject-invariant Deep Neural Networks Based On Baseline Correction for Eeg Motor Imagery Bci)

机译:New Engineering Findings from Seoul National University of Science and Technology Outlined (Subject-invariant Deep Neural Networks Based On Baseline Correction for Eeg Motor Imagery Bci)

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By a News Reporter-Staff News Editor at Network Daily News - Investigatorspublish new report on Engineering. According to news reporting originating from Seoul, South Korea, byNewsRx correspondents, research stated, “Electroencephalography (EEG)-based brain-computer interface(BCI) systems have been extensively used in various applications, such as communication, control, andrehabilitation. However, individual anatomical and physiological differences cause subject-specific variabilityof EEG signals for the same task, and BCI systems thus require a calibration procedure that adjusts systemparameters to each subject.”
机译:由一个新闻记者在网络新闻编辑每日新闻,调查人员工程。来自首尔,韩国记者,研究指出,“脑电图(EEG)的脑机接口广泛应用于各种应用程序,如通信、控制和然而,个人的解剖和生理不同科目的变化原因脑电图信号相同的任务,BCI系统因此需要调整校准过程系统

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    《Network Daily News》 |2023年第19期|6-7|共2页
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