Arai Tatsuya, Limper Ulrich, Gauger Peter, Beck Luis
Massachusetts Institute of Technology, Cambridge, MA, USA.
Aviat Space Environ Med. 2013 Nov;84(11):1178-85. doi: 10.3357/asem.3683.2013.
The importance of noninvasive health monitoring in space increased as a result of the long-duration missions on the International Space Station (ISS). In order to monitor changes in cardiovascular indices such as cardiac output (CO) and total peripheral resistance (TPR), many methods have been developed using signal processing and mathematical modeling techniques. However, their performance in various gravitational conditions has not been known.
The present study compared 10 methods to estimate CO and TPR by processing peripheral arterial blood pressure signals recorded from 8 subjects in multiple gravity levels (1 G, 0 G, and 1.8 G) during parabolic flights. For reference data sets, CO and TPR were simultaneously obtained by an inert gas rebreathing technique. Root normalized mean square errors and Bland-Altman plots were used to evaluate the estimation methods.
The corrected impedance method achieved the lowest estimation errors (20.0% CO error and 23.5% TPR error) over the three gravity levels. In microgravity, mean arterial pressure was also demonstrated to be an indicator of CO (24.5% error).
The corrected impedance method achieved low estimation errors for a wide range of the gravity levels. Gravity-dependent performance was observed in the mean arterial pressure method that achieved low errors in the short-term 0 G.
由于国际空间站(ISS)上的长期任务,太空无创健康监测的重要性日益增加。为了监测诸如心输出量(CO)和总外周阻力(TPR)等心血管指标的变化,人们利用信号处理和数学建模技术开发了许多方法。然而,它们在各种重力条件下的性能尚不清楚。
本研究比较了10种通过处理抛物线飞行期间在多个重力水平(1G、0G和1.8G)下从8名受试者记录的外周动脉血压信号来估计CO和TPR的方法。对于参考数据集,通过惰性气体再呼吸技术同时获得CO和TPR。使用根归一化均方误差和布兰德-奥特曼图来评估估计方法。
在三种重力水平下,校正阻抗法的估计误差最低(CO误差为20.0%,TPR误差为23.5%)。在微重力环境下,平均动脉压也被证明是CO的一个指标(误差为24.5%)。
校正阻抗法在很宽的重力水平范围内都实现了较低的估计误差。在平均动脉压法中观察到了重力依赖性性能,该方法在短期0G条件下误差较低。