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基于脑血流的 G 致效应计算机建模。

Cerebral Blood Flow Based Computer Modeling of G-Induced Effects.

出版信息

Aerosp Med Hum Perform. 2023 May 1;94(5):409-414. doi: 10.3357/AMHP.6179.2023.

DOI:10.3357/AMHP.6179.2023
PMID:37069756
Abstract

There is continued interest in acceleration (G) effects in civil aviation, as G-induced loss of consciousness (G-LOC), impaired consciousness, and visual effects play a role in aerobatic, agricultural, and military aviation accidents. A software model [the Civil Aerospace Medical Institute G-Effects Model (CGEM)] based on physical and physiological variables related to in-flight tissue resupply and using oxygen flow as a proxy for supply availability, was developed to evaluate risk of G-LOC and related phenomena in aeronauts. Aeronauts were modeled using several parameters, including sex, cardiovascular fitness, and other common modifiers such as G-suits, positive pressure breathing gear, anti-G straining, and other muscle tensing. The software was validated by comparison with experimental data from the peer-reviewed literature. CGEM predicted physiological effects of G exposure accurately, particularly for rapid onset rates. Predicted times to G-LOC and absolute incapacitation periods were consistently within 1 SD of pooled results obtained during centrifuge experiments using U.S. Navy (USN) and U.S. Air Force (USAF) pilots. Predictions of G tolerance based on visual effects onset also compared well with published data, as did evaluation of symptoms expected during a difficult aerobatic maneuver. CGEM is a new tool for civil and military aviation. Rather than providing a simple G tolerance number, flight surgeons, pilots, and accident investigators can gain insight into changes in risk-from factors such fatigue, medications, dehydration, and anti-G countermeasures used-through proper selection of parameters.

摘要

人们对民用航空中的加速度(G)效应持续感兴趣,因为 G 引起的意识丧失(G-LOC)、意识障碍和视觉效应在特技飞行、农业和军事航空事故中起着作用。一个基于与飞行中组织补给相关的物理和生理变量的软件模型[民用航空医学研究所 G 效应模型(CGEM)],使用氧气流量作为供应可用性的代理,被开发出来评估飞行员的 G-LOC 和相关现象的风险。飞行员使用几个参数建模,包括性别、心血管健康状况以及其他常见的修饰物,如 G 服、正压呼吸设备、抗 G 应变和其他肌肉紧张。该软件通过与同行评审文献中的实验数据进行比较来验证。CGEM 准确预测了 G 暴露的生理效应,特别是对于快速发作率。预测的 G-LOC 时间和绝对失能期与使用美国海军(USN)和美国空军(USAF)飞行员进行离心机实验的汇总结果相差在 1 个标准差内。基于视觉效果发作的 G 耐受性预测也与已发表的数据很好地吻合,在困难的特技机动中预期的症状评估也是如此。CGEM 是民用和军事航空的新工具。飞行医生、飞行员和事故调查人员可以通过适当选择参数,了解风险变化的情况,而不是提供简单的 G 耐受性数字,这些因素包括疲劳、药物、脱水和使用抗 G 对策等。

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