Segmentary strategy in modeling of cardiovascular system with blood supply to regional skin

Li, Zhongyou; Jiang, Wentao; Diao, Junjie; Chen, Chong; Xu, Kairen; Fan, Haidong; Yan, Fei

doi:10.1016/j.bbe.2021.08.004

Cited by 4 publications

(1 citation statement)

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“…Owing to the complexity of cardiovascular networks, the lumped parameter method is the best choice for building a CVS model due to its simplicity of modeling, ease of solution, and low computational effort. The lumped parameter model (LPM) of cardiovascular systems can be used not only to study the hemodynamics of the cardiovascular system but also to explain the link between hemodynamics and heat transfer in the human body [ 12 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

Integrated Thermofluid Lumped Parameter Model for Analyzing Hemodynamics in Human Fatigue State

Ding

Chen

et al. 2023

Bioengineering

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It is well known that driving while fatigued is dangerous and can lead to serious traffic accidents. However, there is a lack of studies on the mechanism of fatigue. This paper sought to infer changes in the cardiovascular system through hand and head skin temperature peripheral factors via an integrated lumped parameter model. A multi-layer inner structure with variable blood perfusion was used to construct a full-body thermal model. The cardiovascular system model provided blood perfusion using lumped parameters. The peripheral resistance and heart rate in the cardiovascular system model were adjusted to match the experimental temperatures of the head and hands obtained from induced fatigue experiments. The simulation results showed that the heart rate and blood pressure decreased, and the peripheral skin resistance of the hands and head increased after fatigue. A decrease in heart rate and an increase in peripheral resistance affect the magnitude of blood flow to the periphery of the body, leading to a decrease in skin temperature during fatigue. The present integrated model elucidates a key effect of human fatigue on the cardiovascular system, which is expected to help improve the accuracy of fatigue monitoring systems.

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Section: Introductionmentioning

confidence: 99%