A Wearable EEG Instrument for Real-Time Frontal Asymmetry Monitoring in Worker Stress Analysis
A Wearable EEG Instrument for Real-Time Frontal Asymmetry Monitoring in Worker Stress Analysis
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DOI：
10.1109/tim.2020.2988744
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发表时间：
2020-10-01
影响因子：
5.6
通讯作者：
Tedesco, Annarita
中科院分区：
文献类型：
--
作者：
Arpaia, Pasquale;Moccaldi, Nicola;Tedesco, Annarita
提出了一种基于脑电图（EEG）的高耐磨单通道仪器，该仪器采用现成的组件和干电极，用于真实的实时检测人体压力。该仪器利用EEG对运动伪影的鲁棒性，相对于其他生物信号进行压力评估。单通道差分测量旨在分析额叶不对称性，这是一种用于压力评估的公认EEG特征。该仪器以人体为对象进行计量学表征。作为三重参考，标准化的压力测试，由心理学家提供的观察问卷，和性能测量。四个标准的机器学习分类器（SVM，k-NN，随机森林和ANN），训练的50%的数据集，达到90%以上的准确性，在分类每个2秒的时代，从强调主题的EEG。
A highly wearable single-channel instrument, conceived with off-the-shelf components and dry electrodes, is proposed for detecting human stress in real time by electroencephalography (EEG). The instrument exploits EEG robustness to movement artifacts with respect to other biosignals for stress assessment. The single-channel differential measurement aims at analyzing the frontal asymmetry, a well-claimed EEG feature for stress assessment. The instrument was characterized metrologically on human subjects. As triple metrological references, standardized stress tests, observational questionnaires given by psychologists, and performance measurements were exploited. Four standard machine learning classifiers (SVM, k-NN, random forest, and ANN), trained on 50% of the data set, reached more than 90% accuracy in classifying each 2-s epoch of EEG acquired from the stressed subjects.