Comparison of two mathematical models for predicted human thermal responses to hot and humid environments

Potter, Adam W.; Yermakova, Irena; Hunt, Andrew P.; Hancock, Jason W.; Oliveira, A. Virgílio M.; Looney, David P.; Montgomery, Leslie D.

doi:10.1016/j.jtherbio.2021.102902

Cited by 8 publications

(6 citation statements)

References 40 publications

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“…The main hypothesis of the study assumes that prediction of the human condition can be performed using a dynamic mathematical model of human thermal responses implemented in a mobile application [18][19][20][21][22][23]. This scientific approach provides a quantitative assessment of complex physiological processes of thermoregulation and heat exchange in the human body.…”

Section: Mathematical Model Of Human Thermal Responses Under Hot Envi...mentioning

confidence: 99%

“…The characteristics of clothing are selected from the data of the International Organization for Standardization -ISO 7933 (2018) [11]. The military uniform from the Mode 3 set is characterized by thermal insulation of 0.273 m 2 •°C/W and evaporation resistance of 0.0503 m 2 •kPa/W [19]. Thermal insulation and evaporation resistance of leather shoes are equal to 0.083 m 2 •°C/W and 0.047 m 2 •kPa/W, respectively.…”

Section: Mobile Applicationmentioning

confidence: 99%

“…The following characteristics of the military uniform were selected: thermal insulation of fabric 0.273 m 2 ⋅°С/W, and footwear -0.083 m 2 ⋅°С/W, resistance to evaporation of fabric 0.0503 m 2 ⋅kPa/W, and footwear -0.047 m 2 ⋅kPa/W. These characteristics were selected according to research data in [19].…”

Section: Mobile Application Use To Predict Human Thermal Responses In...mentioning

confidence: 99%

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Use a smartphone app for predicting human thermal responses in hot environment

Yermakova,

Nikolaienko,

Hrytsaiuk

et al. 2024

EEJET

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The object of this study is to predict of human thermophysiological state in hot environment to prevent heat stress or heat stroke. A key issue is the need to design effective tools for heat stroke risk assessment taking into account environmental conditions, physical activity, characteristics of human clothing and protective equipment. A mobile application has been developed, which, unlike existing analogs, provides users with data on the safe time of human under selected environmental conditions. The mobile application uses the method of mathematical modeling to predict important indicators of human thermophysiological state: body temperature, sweat evaporation, body water loss. The mathematical model takes into account the generation of metabolic heat, the transfer of heat inside the body, and the heat exchange of a human with the environment. This paper reports the results of using a mobile application for predicting human thermal responses under hot environmental conditions. With the help of the application, it was possible to determine the time of a human's safe stay depending on the intensity of his/her activity and the characteristics of his/her clothing. It is shown that walking at a speed of 6 km/h in a military uniform is safe for 1 hour at an air temperature of 36 °C. Running at a speed of 8 km/h under such conditions becomes risky already after 15 minutes due to overheating of the human body. The developed information technology is designed to warn about heat stress or heat stroke of people who are under hot conditions in order to preserve their health and work capacity. The received predicting data should be considered as one of the theoretical measures to prevent human heat stress under hot environmental conditions

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Section: Mathematical Model Of Human Thermal Responses Under Hot Envi...mentioning

confidence: 99%

Section: Mobile Applicationmentioning

confidence: 99%

Section: Mobile Application Use To Predict Human Thermal Responses In...mentioning

confidence: 99%

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Use a smartphone app for predicting human thermal responses in hot environment

Yermakova,

Nikolaienko,

Hrytsaiuk

et al. 2024

EEJET

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“…The HRP model has been used for modeling of human immersion in cold water [51] and in warm water [52] and validated for hot, humid conditions [20].…”

Section: Health Risk Prediction (Hrp) Modelmentioning

confidence: 99%

“…If any of these approaches are neglected, the "quality" of the numerical predictions might be compromised. Conducting comparisons represents one more stage towards improvement of methods and the expansion to models capable of predicting a wide range of conditions [18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Use of Thermoregulatory Models to Evaluate Heat Stress in Industrial Environments

Yermakova¹,

Potter

Raimundo

et al. 2022

IJERPH

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Heat stress in many industrial workplaces imposes significant risk of injury to individuals. As a means of quantifying these risks, a comparison of four rationally developed thermoregulatory models was conducted. The health-risk prediction (HRP) model, the human thermal regulation model (HuTheReg), the SCENARIO model, and the six-cylinder thermoregulatory model (SCTM) each used the same inputs for an individual, clothing, activity rates, and environment based on previously observed conditions within the Portuguese glass industry. An analysis of model correlations was conducted for predicted temperatures (°C) of brain (TBrain), skin (TSkin), core body (TCore), as well as sweat evaporation rate (ER; Watts). Close agreement was observed between each model (0.81–0.98). Predicted mean ± SD of active phases of exposure for both moderate (TBrain 37.8 ± 0.25, TSkin 36.7 ± 0.49, TCore 37.8 ± 0.45 °C, and ER 207.7 ± 60.4 W) and extreme heat (TBrain 39.1 ± 0.58, TSkin, 38.6 ± 0.71, TCore 38.7 ± 0.65 °C, and ER 468.2 ± 80.2 W) were assessed. This analysis quantifies these heat-risk conditions and provides a platform for comparison of methods to more fully predict heat stress during exposures to hot environments.

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Review on modelling approaches of thermoregulation mechanisms

Chithramol

Shine

2023

J Therm Anal Calorim

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Comparison of two mathematical models for predicted human thermal responses to hot and humid environments

Cited by 8 publications

References 40 publications

Use a smartphone app for predicting human thermal responses in hot environment

Use a smartphone app for predicting human thermal responses in hot environment

Use of Thermoregulatory Models to Evaluate Heat Stress in Industrial Environments

Review on modelling approaches of thermoregulation mechanisms

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