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作 者:刘宁 王刚[1] 贾恩灿 刘锋 胡松涛[1] LIU Ning;WANG Gang;JIA En-can;LIU Feng;HU Song-tao(School of Environmental and Municipal Engineering,Qingdao University of Technology,Qingdao 266033,China)
机构地区:[1]青岛理工大学环境与市政工程学院,青岛266033
出 处:《科学技术与工程》2023年第1期85-90,共6页Science Technology and Engineering
基 金:国家自然科学基金(51778305)。
摘 要:人体某些生理参数存在表征人体热感觉变化的可能性,为了探究不同室温环境中人体生理参数(皮肤温度、脑电)与热感觉变化之间的联系,通过客观实验并结合人体主观问卷调查,分析了人体皮肤温度、脑电频谱功率在冷环境、中性环境、热环境下与热感觉的相关性。研究发现平均皮肤温度、额头温度与热感觉变化显著相关,变化趋势具有一致性;通过对脑电数据进行快速傅里叶变换能量分析,发现处在不同室温下人体的整体热感觉同δ频带(0.5~4 Hz)以及α频带(8~13 Hz)的频谱功率变化显著相关,与β频带(13~30 Hz)的频谱功率变化中度相关。此外,人体在应对冷环境时δ、α、β频带的平均频谱功率变化更为显著,由冷环境过渡至中性环境单位热感觉标度下的平均频谱功率变化幅度要高于热环境,在脑电频谱能量这一生理参数层面揭示了人体对冷环境更敏感。Some physiological parameters of human body have the possibility to characterize the change of human thermal sensation.The correlation between human skin temperature,electroencephalogram(EEG)and thermal sensation changes in cold environment,neutral environment and hot environment was analyzed to explore the relationship between human physiological parameters(skin temperature,EEG)and thermal sensation changes in different room temperature environments through objective experiments and human subjective questionnaire surveys.It was found that the mean skin temperature,forehead temperature were significantly related to the changes of thermal sensation and the trend is consistent.During energy analysis of EEG data,the overall thermal sensation of human body at different room temperature is significantly correlated with the spectral power changes ofδband(0.5~4 Hz)andαband(8~13 Hz)and moderately correlated with the spectral power changes ofβband(13~30 Hz)using the fast Fourier transform method.Particularly,the average spectral power of theδ,α,andβbands changes more significantly when the human body responds to a cold environment.The variation range of average spectral power per unit thermal sensation vote(TSV)scale in the transition from cold environment to neutral environment is higher than that in hot environment.Human body is more sensitive to the cold environment and also revealed at the aspect of energy physiological parameters of EEG spectral power.
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