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Research on Alert degree based on ERP

机译:基于ERP的警报学位研究

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摘要

In daily life, lots of work need people maintain higher attention or vigilance. In the early study of vigilance, blink frequency, the impedance of skin, body temperature and blood pressure and other physiological signals was used to estimate the vigilance. EEG signal can more directly reflect the brain's activity than other physiological signals, and EEG signal have a higher time resolution. In this paper, ERP component was used to analyze the alert state, according to this study, the use of ERP component analysis can reflect the subjects' alertness.
机译:在日常生活中,很多工作需要人们保持更高的关注或警惕。在早期研究警惕,眨眼频率,皮肤的阻抗,体温和血压等生理信号估计警惕。 EEG信号可以更直接地反映大脑的活动,而不是其他生理信号,并且EEG信号具有更高的时间分辨率。在本文中,ERP组件用于分析警报状态,根据本研究,使用ERP分量分析可以反映受试者的警觉性。

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