A multi-segmented human bioheat model for cold and extremely cold exposures

Wu, Jiansong; Hu, Zhuqiang; Gu, Yin; Li, Letian; Zhu, Huajun

doi:10.1016/j.ijthermalsci.2021.107394

Cited by 13 publications

(5 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The amount of heat released from the body to the outside world is directly determined with metabolic heat production (Q s ), which is the main source of body heat. The body's heat balance can be determined with tiny changes in core temperature (T c ), which is the most significant signal of the body's physiological response [10]. Changes in skin temperature (T s ), which is sensitive to environmental changes and is in close contact with the outside world, are frequently used to illustrate how the human body regulates its internal body temperature [29,30].…”

Section: Resultsmentioning

confidence: 99%

“…The physiological responses and thermal regulation of the human body in various environments, such as heat production, core temperature, skin temperature, and heat exchange between the human body and the environment, have been studied in recent decades using human experiments, thermal manikin experiments, and human thermal model simulation experiments [7][8][9][10]. A thermal manikin is a crucial instrument for measuring thermal comfort and evaluating local heat exchange in clothing today.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Coupling System for Prediction of Physiological Parameters in an Immersed Condition

Wu,

Yang,

Qian

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

This study’s major aim is to use a coupling system to predict the physiological parameters of a person wearing a life preserver in an immersion condition. The coupling system is made up of a thermal manikin that can simulate the human body’s thermoregulatory response in an immersion environment, coupled to a multi-segment human thermal model. By comparing the results with those of the subjects, the coupled system’s predictions were shown to be accurate. The core temperature, skin temperature, and heat flow density of ten healthy men were all continuously measured while they wore life preservers and were exposed to the same temperature of air and water. The coupling system demonstrated accurate predictions of heat production and core temperature compared to real measures, with RMSD of 18.91 W and 0.12 °C, respectively. The majority of the predicted values for mean skin temperature were within SD of the measured values, and the paired sample t-test with a significance level of 0.05 showed good agreement with a maximum temperature difference of 1 °C. Also, the coupling system predicted results and the measured results showed some good accuracy for predicting local skin temperatures.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Coupling System for Prediction of Physiological Parameters in an Immersed Condition

Wu,

Yang,

Qian

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…Subtracting Equation 15from Equation 14, we estimate the blood vessel length difference (scalar difference (Fig. 3) [54,55]) between the face and the hand (L) as…”

Section: Estimation Of Subject Specific Parametersmentioning

confidence: 99%

Video-based Estimation of Blood Pressure

Tucker,

Dasari,

Jeni

2023

Preprint

View full text Add to dashboard Cite

In this work, we propose a non-contact video-based approach that estimates an individual’s blood pressure. The estimation of blood pressure is critical for monitoring hypertension and cardiovascular diseases such as coronary artery disease or stroke. Estimation of blood pressure is typically achieved using contact-based devices which apply pressure on the arm through a cuff. Such contact-based devices are cost-prohibitive as well as limited in their scalability due to the requirement of specialized equipment. The ubiquity of mobile phones and video-based capturing devices motivates the development of a non-contact blood pressure estimation method - Video-based Blood Pressure Estimation (V-BPE). We leverage the time difference of the blood pulse arrival at two different locations in the body (Pulse Transit Time) and the inverse relation between the blood pressure and the velocity of blood in the artery to analytically estimate the blood pressure. Through statistical hypothesis testing, we demonstrate that Pulse Transit Time-based approaches to estimate blood pressure require knowledge of subject specific blood vessel parameters, such as the length of the blood vessel. We utilize a combination of computer vision techniques and demographic information (such as the height and the weight of the subject) to capture and incorporate the aforementioned subject specific blood vessel parameters into our estimation of blood pressure. We demonstrate the robustness of V-BPEby evaluating the efficacy of blood pressure estimation in demographically diverse, outside-the-lab conditions. V-BPE is advantageous in two ways; 1) it is non-contact-based, reducing the possibility of infection due to contact and 2) it is scalable, given the ubiquity of video recording devices.

show abstract

“…For clothed body segments, the simplified clothing model described by Yang et al [ 18 ], which was proven to be reasonably accurate [ 18 , 22 ], was adopted in this study.…”

Section: Model Developmentmentioning

confidence: 99%

“…One of the most classic models was developed by Stolwijk, which divided the human body into six parts, each of which were divided into four nodes: core, fat, muscle, and skin. On this basis, many multi-segment multi-layer human bioheat models are modified and improved by Huizenga and Hui [ 9 ], Fiala [ 10 ], Tanabe and Kobayashi [ 11 , 12 ], Salloum [ 13 ], Ferreira and Yanagihara [ 14 ], Zolfaghari and Maerefat [ 15 ], Karaki [ 16 ], Weng [ 17 ], Yang [ 18 ], Xie and Niu [ 19 ], Takahashi [ 20 ], Marian [ 21 ], and Wu [ 22 ].…”

Section: Introductionmentioning

confidence: 99%

A Multi-Segmented Human Bioheat Model for Asymmetric High Temperature Environments

Geng

Weng

et al. 2022

IJERPH

Self Cite

View full text Add to dashboard Cite

In workplaces such as steel, power grids, and construction, firefighters and other workers often encounter non-uniform high-temperature environments, which significantly increase the risk of local heat stress and local heat discomfort for the workers. In this paper, a multi-segment human bioheat model is developed to predict the human thermal response in asymmetric high-temperature environments by considering the sensitivity of the modeling to angular changes in skin temperature and the effects of high temperatures on human thermoregulatory and physiological responses simultaneously. The extended model for asymmetric high-temperature environments is validated with the current model results and experimental data. The result shows that the extended model predicts the human skin temperature more accurately. Under non-uniform high-temperature conditions, the local skin temperature predictions are highly consistent with the experimental data, with a maximum difference of 2 °C. In summary, the proposed model can accurately predict the temperature of the human core and skin layers. It has the potential to estimate human physiological and thermoregulatory responses under uniform and non-uniform high-temperature environments, providing technical support for local heat stress and local thermal discomfort protection.

show abstract

A multi-segmented human bioheat model for cold and extremely cold exposures

Cited by 13 publications

References 38 publications

A Coupling System for Prediction of Physiological Parameters in an Immersed Condition

A Coupling System for Prediction of Physiological Parameters in an Immersed Condition

Video-based Estimation of Blood Pressure

A Multi-Segmented Human Bioheat Model for Asymmetric High Temperature Environments

Contact Info

Product

Resources

About