- Department of Mechanical Engineering, Tarbiat Modares University, Tehran, Iran.
- Department of Mechanical Engineering, University of Birjand, Birjand, Iran.
J Therm Biol. 2019 Jul;83:187-194. doi: 10.1016/j.jtherbio.2019.05.027. Epub 2019 May 31.
In non-uniform environments, different body parts may experience different ranges of physical/environmental parameters. Therefore, to assess the overall thermal sensation in non-uniform environments, the local temperature/thermal sensation of various body parts should be calculated. The local temperature/thermal sensation based on cutaneous thermoreceptor (TRs) responses has been evaluated using MSTB (Multi-Segmental Thermoregulatory Bioheat) model and LTRESP (Local Thermal Response) index in our recent studies. In the present study, a new combined method was proposed to evaluate the overall thermal sensation considering the effects of local sensations of various body segments. In this new method, the local sensations predicted by LTRESP index were defined as the input data for UCB model to predict the overall thermal sensation. So, there was no need to feed it with experimental data to assess the whole-body thermal sensation. Meanwhile, in this method, the overall thermal sensation was predicted taking into account the cutaneous TRs thermal responses. The results indicated that the new combined method could evaluate the overall thermal sensation with a reasonable accuracy under different environmental conditions. Thus, the new method could be practical for predicting the overall thermal sensation in both uniform and non-uniform thermal environments.
在非均匀环境中,不同身体部位可能会经历不同范围的物理/环境参数。因此,为了评估非均匀环境中的整体热感觉,应计算各个身体部位的局部温度/热感觉。我们最近的研究使用 MSTB(多节段温度调节生物热)模型和 LTRESP(局部热响应)指数来评估基于皮肤热敏感受器(TRs)反应的局部温度/热感觉。在本研究中,提出了一种新的组合方法来评估整体热感觉,同时考虑了各个身体部位的局部感觉的影响。在这种新方法中,LTRESP 指数预测的局部感觉被定义为 UCB 模型的输入数据,以预测整体热感觉。因此,无需使用实验数据来评估全身热感觉。同时,在该方法中,考虑了皮肤 TRs 热响应来预测整体热感觉。结果表明,在不同的环境条件下,新的组合方法可以以合理的精度评估整体热感觉。因此,该方法可用于预测均匀和非均匀热环境中的整体热感觉。