计算机化避免疲劳工具的就业能力评估,在海军飞行员中使用和不使用动图学
S S Mohapatra1, Ranjan Sarkar2, P Promod3
1Professor (Aviation Medicine), INM, INS Shikra, Colaba, Mumbai, India.
Medical journal, Armed Forces India
|December 25, 2023
概括
将动作图与避免疲劳计划工具 (FAST) 集成,可显著提高其检测机组人员操作疲劳的准确性. 与单独使用的FAST相比,这种增强的FAST显示出优越的诊断措施.
科学领域:
- 航空安全航空安全
- 人类因素工程 人类因素工程
- 生物数学建模 生物数学建模
背景情况:
- 避免疲劳的计划工具 (FAST) 是一个基于SAPTE生物数学模型的计算机系统,用于预防疲劳.
- 动图是评估睡眠模式和持续时间的公认方法.
研究的目的:
- 评估用于操作疲劳检测的避免疲劳调度工具 (FAST) 的诊断准确性.
- 为了比较FAST独立与与actigraphy集成的就业能力.
主要方法:
- 评估了51名机组人员的103次飞行前医疗检查.
- 确定的诊断准确度措施包括灵敏度,特异性,PPV,NPV,LR+ve,LR-ve和尤登指数.
- 我们比较了这些仅用于FAST的测量和与动图集成的FAST的测量.
主要成果:
- FAST显示灵敏度为68.4%,特异性为92.8%.
- 采用动图集成的FAST显示了诊断准确度的提高,灵敏度为84.2%,特异性为96.4%.
- 像PPV,NPV,LR+ve和Youden指数这样的关键指标在综合系统中明显高.
结论:
- 整合actigraphy显著提高了FAST的诊断性能.
- 与独立使用的FAST相比,集成的FAST是对操作疲劳的优越选工具.
- 客观的措施,如动图,可以提高在航空中的疲劳预防工具的有效性.
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