基于脑电的温度阶跃变化环境下的人体热舒适研究

热环境作为评价建筑物理环境的重要部分，影响着人的工作效率和情绪变化。不同环境温度下的脑电信号与人体主观投票相结合是一种评价热舒适的新方法。选取14名身体健康的成年人在人工气候室经历由低温15℃分别突变到18、24和30℃3个过程，通过快速傅里叶变换，将温度阶跃变化环境下测得的脑电信号转化为脑电频谱功率，与主观投票和额头温度相结合，进一步探究脑电各分区和各波段与热舒适的相关性。研究表明，额叶区频谱功率变化可作为人体热舒适的评价指标，频谱功率与热舒适显著相关，且随着舒适程度的增加而降低，当温度突变到接近人体中性温度24℃时，功率最低。同时发现与热愉悦情绪和注意力有关的额叶区θ波段功率随着舒适程度的增加而增加，当温度突变到24℃时，θ波相对脑电功率变化最明显，增加了约20%。

Study on Human Thermal Comfort under Temperature Step-Change Environment Based on EEG

As an important part of evaluating the physical environment of buildings, thermal environment affects people''s work efficiency and emotional changes. The combination of EEG signals and human subjective voting under different ambient temperatures is a new method to evaluate thermal comfort. In this study, fourteen healthy adults were selected to experience three processes of temperature change from 15 °C in winter, to 18 °C, 24 °C and 30 °C. The EEG signals under the temperature step-change environment were converted into spectral power values by FFT. Combining the spectral power value of EEG with subjective voting and forehead temperature, the study further explores the correlation between thermal comfort and different frequency bands of EEG. The results show that the spectral power value of frontal lobe can be used to evaluate human thermal comfort. The spectral power value is significantly correlated with thermal comfort voting, which decreases with the increase of thermal comfort. The power value is the lowest when the temperature changes to 24 °C. The theta power of frontal lobe related to thermal pleasure and attention, which was found to increase with the decrease of thermal comfort voting. When the temperature suddenly changes to 24 °C, the change of relative theta power is the most obvious, which increasing about 20%.