Xue Lihao, Zhou Biyun, Ding Li, Feng Hetian, Nie Jiachen, Zhang Qing
Beijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China.
Institute of Artificial Intelligence, Beihang University, Beijing, 100083, China.
J Therm Biol. 2023 Oct;117:103685. doi: 10.1016/j.jtherbio.2023.103685. Epub 2023 Aug 15.
Recent research has primarily focused on human thermoregulatory responses at high altitudes, but investigations involving extremely high-temperature and hypobaric compound environments are currently lacking. To address this gap in knowledge, this study aimed to enhance the prediction of human heat sensation for pilot reserves while operating in extremely hot cabins with decompression. To achieve this, an improved Predicted Heat Strain (PHS) model was developed by incorporating the influence of air pressure on metabolic rate. The model's validity was assessed through experiments conducted at different altitudes (0m, 5000m, and 8000m) and varying environmental conditions (26°C and 45 °C, 10% RH and 40% RH) within an environmental simulation cabin. During these experiments, local skin temperature, core temperature, heart rate, and blood oxygen saturation were measured. The findings revealed distinct variations in the skin temperature of the hand and foot segments across different experimental stages, and significant correlations were observed between heart rate, core temperature, and local skin temperatures. Furthermore, regression models were established to explore the relationship between heart rate and local skin temperatures. By comparing simulated and experimental core and local skin temperatures, the enhanced PHS model was successfully validated. The conclusions drawn from this study provide valuable insights for predicting thermal physiological indices accurately and conveniently in hot-dry and hypobaric environments.
近期研究主要集中在人类在高海拔地区的体温调节反应,但目前缺乏涉及极高温和低压复合环境的研究。为填补这一知识空白,本研究旨在提高对飞行员在减压的极热机舱中操作时热感觉的预测能力。为此,通过纳入气压对代谢率的影响,开发了一种改进的预测热应变(PHS)模型。该模型的有效性通过在环境模拟舱内不同海拔(0米、5000米和8000米)以及不同环境条件(26°C和45°C、10%相对湿度和40%相对湿度)下进行的实验进行评估。在这些实验中,测量了局部皮肤温度、核心温度、心率和血氧饱和度。研究结果显示,在不同实验阶段,手部和足部皮肤温度存在明显差异,并且心率、核心温度和局部皮肤温度之间存在显著相关性。此外,建立了回归模型以探索心率与局部皮肤温度之间的关系。通过比较模拟和实验得到的核心温度和局部皮肤温度,改进后的PHS模型得到了成功验证。本研究得出的结论为在干热和低压环境中准确、便捷地预测热生理指标提供了有价值的见解。