脑电图(EEG)和眼电图(EOG)是电生理监测的方法,在神经科学中具有潜在的卓有成效的应用,临床探索,航空工业,和其他部门。这些方法通常是评估大脑振荡和眼球运动的最直接方法,因为他们使用标准的实验室或移动技术。这篇综述描述了EEG和EOG系统的潜力以及这些方法在航空学中的应用。例如,EEG和EOG信号可用于设计脑机接口(BCI)和解释大脑活动,例如监测飞行员的精神状态以确定他们的工作量。这次审查的主要目标是,(i)对EEG和EOG的基础知识及其在航空学中的应用进行深入的文献回顾;(ii)探索过去十年中EEG-EOG组合研究的方法和趋势;(iii)为初学者和专家在实验室以外的环境中应用这些方法时提供方法学指南,特别关注人为因素和航空。这项研究使用了来自科学的数据库,临床,和神经工程领域。本文首先介绍了EEG和EOG的特点及其在航空学中的应用,对相关文献进行了大量回顾,从早期到最近的研究。然后,我们建立了一个新的分类模型,其中包括2010年1月至2020年3月在同行评审的科学期刊和会议上发表的150篇合并EEG-EOG论文。对每项研究的几个数据元素进行了审查(例如,预处理,提取的特征和性能指标),然后对其进行了检查,以揭示航空学的趋势,并从这一重要的文献中总结出有趣的方法。最后,审查考虑了这些方法的优点和局限性以及未来的挑战。
Electro-encephalography (EEG) and electro-oculography (EOG) are methods of electrophysiological monitoring that have potentially fruitful applications in neuroscience, clinical exploration, the aeronautical industry, and other sectors. These methods are often the most straightforward way of evaluating brain oscillations and eye movements, as they use standard laboratory or mobile techniques. This
review describes the potential of EEG and EOG systems and the application of these methods in aeronautics. For example, EEG and EOG signals can be used to design brain-computer interfaces (BCI) and to interpret brain activity, such as monitoring the mental state of a pilot in determining their workload. The main objectives of this
review are to, (i) offer an in-depth
review of literature on the basics of EEG and EOG and their application in aeronautics; (ii) to explore the methodology and trends of research in combined EEG-EOG studies over the last decade; and (iii) to provide methodological guidelines for beginners and experts when applying these methods in environments outside the laboratory, with a particular focus on human factors and aeronautics. The study used databases from scientific, clinical, and neural engineering fields. The
review first introduces the characteristics and the application of both EEG and EOG in aeronautics, undertaking a large
review of relevant literature, from early to more recent studies. We then built a novel taxonomy model that includes 150 combined EEG-EOG papers published in peer-reviewed scientific journals and conferences from January 2010 to March 2020. Several data elements were reviewed for each study (e.g., pre-processing, extracted features and performance metrics), which were then examined to uncover trends in aeronautics and summarize interesting methods from this important body of literature. Finally, the
review considers the advantages and limitations of these methods as well as future challenges.