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The application in electroencephalogram technology for investigating indoor lighting environments: A review
Journal of Building Engineering ( IF 6.7 ) Pub Date : 2024-06-21 , DOI: 10.1016/j.jobe.2024.110020
Nan Zhang , Chao Liu , Caixia Hou , Ziyan Wang , Xinyu He , Weijun Gao

The study of indoor light environments is crucial for achieving a balance between user comfort and building energy efficiency. Electroencephalogram (EEG), known for its non-invasiveness and high temporal resolution, has emerged as a valuable tool in this field, allowing for the visualization of brain activity. This review synthesizes findings from 52 studies conducted over the past two decades that utilized EEG technology to investigate the indoor light environment. It specifically examines the impacts of light spectrum, illuminance, correlated color temperature (CCT), and lighting setup on human brain activity. Furthermore, the review addresses factors influencing the evaluation of the light environment and proposes strategies for improvement and future research directions. The review reveals that a significant majority (92.31 %) of the studies were experimental studies, with limited emphasis on practical applications. Approximately 78.85 % of experimental studies were carried out in controlled chambers, with young college students as the primary participants, and the male to female ratio was 1.1/1. Blue light, high illuminance, and high CCT significantly inhibited low-frequency EEG activity (δ, θ, and α) and activated high-frequency EEG activity (β and γ), contributing to increased alertness and improved cognitive performance. To enhance the precision of EEG-based assessments of indoor light environments, it is imperative to consider a broader range of environmental, personal, and technical factors, and to employ standardized data collection and processing techniques. Additionally, future research should focus on expanding the application of EEG in indoor lighting design and creating personalized light comfort models and comprehensive high-quality datasets.

中文翻译:


脑电图技术在室内照明环境研究中的应用:综述



室内光环境的研究对于实现用户舒适度和建筑能源效率之间的平衡至关重要。脑电图(EEG)以其非侵入性和高时间分辨率而闻名,已成为该领域的一个有价值的工具,可以实现大脑活动的可视化。本综述综合了过去 20 年来利用脑电图技术研究室内光环境的 52 项研究的结果。它专门检查光谱、照度、相关色温 (CCT) 和照明设置对人脑活动的影响。此外,本文还讨论了影响光环境评估的因素,并提出了改进策略和未来的研究方向。审查显示,绝大多数(92.31%)的研究都是实验性研究,对实际应用的重视有限。大约78.85%的实验研究是在受控室中进行的,以年轻大学生为主要参与者,男女比例为1.1/1。蓝光、高照度和高 CCT 显着抑制低频脑电图活动(δ、θ 和 α)并激活高频脑电图活动(β 和 γ),有助于提高警觉性和改善认知能力。为了提高基于脑电图的室内光环境评估的精度,必须考虑更广泛的环境、个人和技术因素,并采用标准化的数据收集和处理技术。此外,未来的研究应侧重于扩大脑电图在室内照明设计中的应用,创建个性化的光舒适模型和全面的高质量数据集。
更新日期:2024-06-21
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