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An Investigation into the Feasibility of Monitoring a Worker's Psychological Distress

机译：监测工人心理困境的可行性调查

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The objective of this study is to investigate the feasibility of developing a worker psychological distress monitoring system using Electroencephalogram (EEG). Psychological impairment has emerged as a key security (insider threat) and safety (human error) issue at Nuclear Power Plants (NPPs) as well as other industries. Although the U.S. Nuclear Regulatory Commission (NRC) highlighted the importance of NPP workers' Fitness-For-Duty (FFD) to ensure personnel reliability, current FFD programs only consider drug and alcohol testing and fatigue management. However, today's bio-signals technology makes it possible to monitor the physical and mental state of workers. Thus, this study examines the feasibility of using EEG indicators to identify potentially-at-risk workers, especially those with acute psychological distress. We reviewed historical cases of insider threat and human error at nuclear facilities, and analyzed these cases from the perspective of a suspect's mental health. Based on bio-signal literature, a variety of EEG indicators identified at risk workers with a psychological impairment. As such, we selected the following: (1) Frontal EEG asymmetry; (2) EEG coherence; and (3) the variations of frequency domain EEG indicators (Theta, Alpha, Beta and Gamma) at certain brain area. To verify the appropriateness of these EEG indicators in realistic situations, this study performed a pilot experiment. The resting states of EEG (Eye Closed and Eye Open) were recorded on 56 student subjects (36 healthy and 20 with a high score for depression and anxiety symptoms). The resting states of EEG results showed a statistically significant difference between at-risk students and healthy students. This means specific EEG indicators can be used to classify the mental status of workers. These results can be applied directly to the mental health monitoring system of nuclear power plants as well as the industries requiring high reliability (aerospace, military and transportation)
机译：本研究的目的是探讨使用脑电图（EEG）开发工人心理窘迫监测系统的可行性。心理障碍已成为核电站（NPPS）和其他行业的关键安全（内幕威胁）和安全（人为错误）问题。虽然美国核监管委员会（NRC）强调了NPP工人健康（FFD）的重要性，以确保人员可靠性，目前的FFD计划只考虑药物和酒精测试和疲劳管理。然而，今天的生物信号技术使得能够监测工人的身心和精神状态。因此，本研究探讨了利用欧盟指标确定潜在风险工人的可行性，特别是那些患有急性心理困扰的人。我们在核设施审查了内部威胁和人为错误的历史案例，并从嫌疑人的心理健康的角度分析了这些案例。基于生物信号文献，在风险工作人员中确定了各种脑电图指标，具有心理障碍。因此，我们选择以下内容：（1）额脑电图不对称; （2）EEG连贯; （3）某些脑区域频域EEG指标（θ，α，β和γ）的变化。为了验证这些EEG指标在现实情况下的适当性，这项研究表演了试点实验。 EEG（眼睛闭合和眼睛开放）的休息状态被记录在56名学生科目（36人健康，20分，高分抑郁和焦虑症状）。 EEG结果的休息状态表现出风险学生和健康学生之间的统计学意义。这意味着特定的EEG指标可用于分类工人的心理状态。这些结果可直接应用于核电站的心理健康监测系统以及需要高可靠性的行业（航空航天，军事和运输）

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