A wearable electroencephalogram (EEG) is considered a means for investigating psychophysiological conditions of individuals in the workplace in order to ameliorate occupational health and safety. Following other sectors, construction scholars have adopted this technology over the past decade to strengthen evidence-based practices to improve the wellbeing of workers. This study presents the state-of-the-art hardware, algorithms, and applications of EEG as a platform that assists in dealing with the risk-prone and complex nature of construction tasks. After summarizing the background of EEG and its research paradigms in different sectors, a comprehensive review of EEG-enabled construction research is provided. First, through a macro-scale review aided by bibliometric analysis a big picture of the research streams is plotted. Second, a micro-scale review is conducted to spot the gaps in the literature. The identified gaps are used to classify the future research directions into theoretical, application, and methodological developments.

可穿戴脑电图 (EEG) 被认为是调查工作场所个人心理生理状况以改善职业健康和安全的一种手段。继其他部门之后，建筑学者在过去十年中采用了这项技术来加强循证实践，以改善工人的福祉。本研究展示了 EEG 的最先进的硬件、算法和应用程序，作为一个平台，帮助处理施工任务的风险易发性和复杂性。在总结了脑电图的背景及其在不同领域的研究范式后，对脑电图支持的建筑研究进行了全面回顾。首先，通过文献计量分析辅助的宏观审查，绘制了研究流的大图。第二，进行了微观审查以发现文献中的差距。确定的差距用于将未来的研究方向分为理论、应用和方法发展。