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用于分析人体疲劳状态下血流动力学的集成热流体集总参数模型

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

作者信息

Ding Xiaoling, He Ying, Chen Youqiang, Wang Yueping, Long Lili

机构信息

Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, School of Energy and Power Engineering, Dalian University of Technology, Dalian 116024, China.

出版信息

Bioengineering (Basel). 2023 Mar 17;10(3):368. doi: 10.3390/bioengineering10030368.

Abstract

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.

摘要

众所周知,疲劳驾驶很危险,可能导致严重的交通事故。然而,关于疲劳机制的研究却很匮乏。本文试图通过一个集成的集总参数模型,经由手部和头部皮肤温度等外周因素来推断心血管系统的变化。采用具有可变血液灌注的多层内部结构构建全身热模型。心血管系统模型使用集总参数来提供血液灌注。调整心血管系统模型中的外周阻力和心率,以匹配从诱发疲劳实验中获得的头部和手部的实验温度。模拟结果表明,疲劳后心率和血压下降,手部和头部的外周皮肤阻力增加。心率降低和外周阻力增加会影响流向身体外周的血流量大小,导致疲劳期间皮肤温度下降。当前的集成模型阐明了人类疲劳对心血管系统的关键影响,有望有助于提高疲劳监测系统的准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4425/10045716/af5e3e311f29/bioengineering-10-00368-g001.jpg

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