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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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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. |
format | Default Article |
id | rr-article-9347711 |
institution | Loughborough University |
publishDate | 2018 |
record_format | Figshare |
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 |