Department of Mechanical Engineering, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands.
Physiol Meas. 2010 Jan;31(1):77-93. doi: 10.1088/0967-3334/31/1/006. Epub 2009 Nov 26.
Many researchers have already attempted to model vasoconstriction responses, commonly using the mathematical representation proposed by Stolwijk (1971 NASA Contractor Report CR-1855 (Washington, DC: NASA)). Model makers based the parameter values in this formulation either on estimations or by attributing the difference between their passive models and measurement data fully to thermoregulation. These methods are very sensitive to errors. This study aims to present a reliable method for determining physiological values in the vasoconstriction formulation. An experimental protocol was developed that enabled us to derive the local proportional amplification coefficients of the toe, leg and arm and the transient vasoconstrictor tone. Ten subjects participated in a cooling experiment. During the experiment, core temperature, skin temperature, skin perfusion, forearm blood flow and heart rate variability were measured. The contributions to the normalized amplification coefficient for vasoconstriction of the toe, leg and arm were 84%, 11% and 5%, respectively. Comparison with relative values in the literature showed that the estimated values of Stolwijk and the values mentioned by Tanabe et al (2002 Energy Build. 34 637-46) were comparable with our measured values, but the values of Gordon (1974 The response of a human temperature regulatory system model in the cold PhD Thesis University of California, Santa Barbara) and Fiala et al (2001 Int. J. Biometeorol. 45 143159) differed significantly. With the help of regression analysis a relation was formulated between the error signal of the standardized core temperature and the vasoconstrictor tone. This relation was formulated in a general applicable way, which means that it can be used for situations where vasoconstriction thresholds are shifted, like under anesthesia or during motion sickness.
许多研究人员已经尝试对血管收缩反应进行建模,通常使用 Stolwijk(1971 年 NASA 承包商报告 CR-1855(华盛顿特区:NASA))提出的数学表示。在这个公式中,模型制作者的参数值要么基于估计值,要么完全归因于体温调节,将其被动模型和测量数据之间的差异归因于体温调节。这些方法非常容易受到误差的影响。本研究旨在提出一种可靠的方法来确定血管收缩公式中的生理值。我们制定了一个实验方案,使我们能够得出脚趾、腿部和手臂的局部比例放大系数以及瞬态血管收缩器的音调和强度。十位受试者参加了冷却实验。在实验过程中,测量了核心温度、皮肤温度、皮肤灌注、前臂血流量和心率变异性。脚趾、腿部和手臂的血管收缩归一化放大系数的贡献分别为 84%、11%和 5%。与文献中的相对值比较表明,Stolwijk 的估计值和 Tanabe 等人(2002 年《Energy Build.》34 637-46)提到的数值与我们的测量值相当,但 Gordon(1974 年《The response of a human temperature regulatory system model in the cold PhD Thesis University of California, Santa Barbara》)和 Fiala 等人(2001 年《Int. J. Biometeorol.》45 143159)的数值差异显著。借助回归分析,我们在标准化核心温度的误差信号和血管收缩器音调和强度之间建立了关系。该关系以一种通用的方式制定,这意味着它可以用于血管收缩阈值发生变化的情况,例如在麻醉或运动病期间。