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一种优化的人体心血管对模拟失重适应的指标。

An optimized index of human cardiovascular adaptation to simulated weightlessness.

作者信息

Wang M, Hassebrook L, Evans J, Varghese T, Knapp C

机构信息

Motorola Cellular Infrastructure Group, Arlington Heights, IL 60004, USA.

出版信息

IEEE Trans Biomed Eng. 1996 May;43(5):502-11. doi: 10.1109/10.488798.

Abstract

Prolonged exposure to weightlessness is known to produce a variety of cardiovascular changes, some of which may influence the astronaut's performance during a mission. In order to find a reliable indicator of cardiovascular adaptation to weightlessness, we analyzed data from nine male subjects after a 24-hour period of normal activity and after a period of simulated weightlessness produced by two hours in a launch position followed by 20 hours of 6 degrees head-down tilt plus pharmacologically induced diuresis (furosemide). Heart rate, arterial pressure, thoracic fluid index, and radial flow were analyzed. Autoregressive spectral estimation and decomposition were used to obtain the spectral components of each variable from the subjects in the supine position during pre- and post-simulated weightlessness. We found a significant decrease in heart rate power and an increase in thoracic fluid index power in the high frequency region (0.2-0.45 Hz) and significant increases in radial flow and arterial pressure powers in the low frequency region (<0.2 Hz) in response to simulated weightlessness. However, due to the variability among subjects, any single variable appeared limited as a dependable index of cardiovascular adaptation to weightlessness. The backward elimination algorithm was then used to select the best discriminatory features from these spectral components. Fisher's linear discriminant and Bayes' quadratic discriminant were used to combine the selected features to obtain an optimal index of adaptation to simulated weightlessness. Results showed that both techniques provided improved discriminant performance over any single variable and thus have the potential for use as an index to track adaptation and prescribe countermeasures to the effects of weightlessness.

摘要

众所周知,长期处于失重状态会引发多种心血管变化,其中一些变化可能会影响宇航员在执行任务期间的表现。为了找到一个可靠的心血管适应失重的指标,我们分析了九名男性受试者的数据,这些数据分别来自24小时正常活动后,以及在发射位置保持两小时后再进行20小时6度头低位倾斜并辅以药物诱导利尿(速尿)所产生的模拟失重状态之后。我们分析了心率、动脉压、胸液指数和桡动脉血流。利用自回归谱估计和分解,在模拟失重前后,获取受试者仰卧位时各变量的频谱成分。我们发现,模拟失重后,高频区域(0.2 - 0.45赫兹)的心率功率显著下降,胸液指数功率增加,低频区域(<0.2赫兹)的桡动脉血流和动脉压功率显著增加。然而,由于个体间存在差异,任何单一变量作为心血管适应失重的可靠指标似乎都有局限性。随后使用向后消除算法从这些频谱成分中选择最佳判别特征。利用费舍尔线性判别和贝叶斯二次判别对所选特征进行组合,以获得模拟失重适应的最佳指标。结果表明,这两种技术在判别性能上均优于任何单一变量,因此有潜力作为跟踪适应情况和针对失重影响制定对策的指标。

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