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A new individualized thermoregulatory bio-heat model for evaluating the effects of personal characteristics on human body thermal response

Personal factors such as weight, height, gender, age, and basal metabolic rate (BMR) all have significant effects on body temperature distribution and thermal sensation. A large number of well-known human body thermoregulatory models are population-based however, and cannot evaluate the impact of in...

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Main Authors: Farzin Davoodi, Hassan Hassanzadeh, Seyed A. Zolfaghari, George Havenith, Mehdi Maerefat
Format: Default Article
Published: 2018
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Online Access:https://hdl.handle.net/2134/32488
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author Farzin Davoodi
Hassan Hassanzadeh
Seyed A. Zolfaghari
George Havenith
Mehdi Maerefat
author_facet Farzin Davoodi
Hassan Hassanzadeh
Seyed A. Zolfaghari
George Havenith
Mehdi Maerefat
author_sort Farzin Davoodi (7153025)
collection Figshare
description Personal factors such as weight, height, gender, age, and basal metabolic rate (BMR) all have significant effects on body temperature distribution and thermal sensation. A large number of well-known human body thermoregulatory models are population-based however, and cannot evaluate the impact of individual characteristics on human thermal responses. Further, the standard thermal models of the human body, including Fanger's and Gagge's, are based on the energy balance approach. However, a person's thermal sensation is affected by the thermal response of cutaneous thermoreceptors relative to the environmental thermal conditions, and it is not necessarily related to the energy balance of the human body. Thus, these simplified standard models have some limitations under various individual conditions and are not in conformity with the physiology of individual thermoregulatory mechanisms. This study proposes a new Individualized Thermoregulatory Bio-heat (ITB) model on the basis of Pennes' equation and Gagge's 2-node model to determine heat transfer in living tissue layers. In developing this model, the effects of individual parameters such as age, gender, body mass index (BMI), and BMR on determining the temperature and its derivatives at cutaneous thermoreceptor locations were considered. Afterward, the present model was validated against the published empirical data, simulated standard model results, and analytical results under various environmental conditions and a good agreement was found.
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spelling rr-article-93477112018-03-21T00:00:00Z A new individualized thermoregulatory bio-heat model for evaluating the effects of personal characteristics on human body thermal response Farzin Davoodi (7153025) Hassan Hassanzadeh (3595313) Seyed A. Zolfaghari (7153028) George Havenith (1383810) Mehdi Maerefat (7153031) Design not elsewhere classified Bio-heat model Individual parameters STB model Thermoreceptors Human body thermoregulation Design Practice and Management not elsewhere classified Personal factors such as weight, height, gender, age, and basal metabolic rate (BMR) all have significant effects on body temperature distribution and thermal sensation. A large number of well-known human body thermoregulatory models are population-based however, and cannot evaluate the impact of individual characteristics on human thermal responses. Further, the standard thermal models of the human body, including Fanger's and Gagge's, are based on the energy balance approach. However, a person's thermal sensation is affected by the thermal response of cutaneous thermoreceptors relative to the environmental thermal conditions, and it is not necessarily related to the energy balance of the human body. Thus, these simplified standard models have some limitations under various individual conditions and are not in conformity with the physiology of individual thermoregulatory mechanisms. This study proposes a new Individualized Thermoregulatory Bio-heat (ITB) model on the basis of Pennes' equation and Gagge's 2-node model to determine heat transfer in living tissue layers. In developing this model, the effects of individual parameters such as age, gender, body mass index (BMI), and BMR on determining the temperature and its derivatives at cutaneous thermoreceptor locations were considered. Afterward, the present model was validated against the published empirical data, simulated standard model results, and analytical results under various environmental conditions and a good agreement was found. 2018-03-21T00:00:00Z Text Journal contribution 2134/32488 https://figshare.com/articles/journal_contribution/A_new_individualized_thermoregulatory_bio-heat_model_for_evaluating_the_effects_of_personal_characteristics_on_human_body_thermal_response/9347711 CC BY-NC-ND 4.0
spellingShingle Design not elsewhere classified
Bio-heat model
Individual parameters
STB model
Thermoreceptors
Human body thermoregulation
Design Practice and Management not elsewhere classified
Farzin Davoodi
Hassan Hassanzadeh
Seyed A. Zolfaghari
George Havenith
Mehdi Maerefat
A new individualized thermoregulatory bio-heat model for evaluating the effects of personal characteristics on human body thermal response
title A new individualized thermoregulatory bio-heat model for evaluating the effects of personal characteristics on human body thermal response
title_full A new individualized thermoregulatory bio-heat model for evaluating the effects of personal characteristics on human body thermal response
title_fullStr A new individualized thermoregulatory bio-heat model for evaluating the effects of personal characteristics on human body thermal response
title_full_unstemmed A new individualized thermoregulatory bio-heat model for evaluating the effects of personal characteristics on human body thermal response
title_short A new individualized thermoregulatory bio-heat model for evaluating the effects of personal characteristics on human body thermal response
title_sort new individualized thermoregulatory bio-heat model for evaluating the effects of personal characteristics on human body thermal response
topic Design not elsewhere classified
Bio-heat model
Individual parameters
STB model
Thermoreceptors
Human body thermoregulation
Design Practice and Management not elsewhere classified
url https://hdl.handle.net/2134/32488