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一种用于预测人体在各种热环境下局部状况的个性化多段生物热模型。

An individualized and multi-segmental bioheat model for predicting local conditions of the human body under various thermal environments.

作者信息

Afzalian Mahdi, Zolfaghari Seyed Alireza

机构信息

Mechanical Engineering, University of Birjand, Iran.

出版信息

J Therm Biol. 2023 Oct;117:103708. doi: 10.1016/j.jtherbio.2023.103708. Epub 2023 Sep 12.

Abstract

Thermoregulatory bioheat models have attracted the attention of researchers due to their conformity with the basis of human thermal perception. For this reason, various models have been presented, such as simplified thermoregulatory bioheat (STB), individualized thermoregulatory bioheat (ITB), and multi-segmental thermoregulatory bioheat (MSTB). In the present study and based upon previous models, an individual multi-segment thermoregulatory bioheat (IMTB) model has been introduced. In this model, the body is subdivided into 17 segments and 3 layers, with the blood circulatory system consisting of arteries, veins, and superficial veins. Also, IMTB can evaluate the individual parameters effects (such as height, weight, gender, and age) on physiological parameters and active/passive systems. Finally, this new model was evaluated in human thermal response predictions over a wide range of transient and steady-state environmental conditions (5.0< T(°C) <50.0, 31.0 < RH (%)<70.0) and various individual characteristics (male and female, 20 < age (years) < 69, 50<weight (kg) < 92, and 1.5<height(m) < 1.9). The results indicated that the new model agreed well with empirical data and the average mean absolute error (MAE) was 0.1, 0.5, and 0.3 °C for core, local, and mean skin temperature, respectively.

摘要

由于热调节生物热模型符合人体热感知的基础,因此受到了研究人员的关注。出于这个原因,已经提出了各种模型,如简化热调节生物热模型(STB)、个性化热调节生物热模型(ITB)和多段热调节生物热模型(MSTB)。在本研究中,基于先前的模型,引入了个体多段热调节生物热模型(IMTB)。在该模型中,人体被细分为17个节段和3层,血液循环系统由动脉、静脉和浅静脉组成。此外,IMTB可以评估个体参数(如身高、体重、性别和年龄)对生理参数以及主动/被动系统的影响。最后,在广泛的瞬态和稳态环境条件(5.0 < T(°C) < 50.0,31.0 < RH(%) < 70.0)以及各种个体特征(男性和女性,20 < 年龄(岁) < 69,50 < 体重(kg) < 92,1.5 < 身高(m) < 1.9)下,对该新模型进行了人体热响应预测评估。结果表明,新模型与实验数据吻合良好,核心温度、局部温度和平均皮肤温度的平均平均绝对误差(MAE)分别为0.1、0.5和0.3°C。

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