睡眠质量
睡眠(系统调用)
热舒适性
脑电图
质量(理念)
建筑工程
心理学
计算机科学
汽车工程
听力学
工程类
医学
神经科学
气象学
地理
认知
物理
量子力学
操作系统
作者
Jing Shi,Nan Zhang,Chao Liu,Jiaxin Li,Yan Sun,Weijun Gao
标识
DOI:10.1016/j.jobe.2024.108646
摘要
The thermal environment significantly influences human health and productivity. The incorporation of electroencephalogram (EEG) signals, which reflect both physiological and psychological aspects, is increasingly prevalent in related studies. A comprehensive review of 73 studies investigates the intricate relationship between EEG signals, thermal conditions, and individuals. These studies primarily concentrate on thermal comfort, performance, and sleep quality. Time and frequency domain features of EEG signals have become common indicators for analysis. Notably, reduced EEG power is linked to thermal comfort, particularly in the frontal lobe. Employing EEG power ratios effectively evaluates cognitive load under various thermal conditions, achieving the classification accuracy exceeding 74.60 % through machine learning. The impact of the thermal environment on sleep quality has garnered considerable attention. The heightened slow wave sleep (SWS) indicates better sleep quality. While 70 studies were conducted in controlled chambers, predominantly with young college students, it is recommended to broaden the application scenarios to include outdoor and underground spaces. Considering variations in thermal environments and adaptations, expanding the sample size is also advisable. To advance the application of EEG signals in thermal environment research, developing open and high-quality datasets and adaptive thermal comfort recognition models is essential. Future research should focus on exploring correlations between the thermal environment and the power of different brain regions and frequency bands.
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