Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR), Institut für Flugführung, Lilienthalplatz 7, 38108, Braunschweig, Germany.
Sci Rep. 2023 Mar 23;13(1):4738. doi: 10.1038/s41598-023-31264-w.
Mental fatigue (MF) can impair pilots' performance and reactions to unforeseen events and is therefore an important concept within aviation. The physiological measurement of MF, especially with EEG and, in recent years, fNIRS, has gained much attention. However, a systematic investigation and comparison of the measurements is seldomly done. We induced MF via time on task during a 90-min simulated flight task and collected concurrent EEG-fNIRS, performance and self-report data from 31 participants. While their subjective MF increased linearly, the participants were able to keep their performance stable over the course of the experiment. EEG data showed an early increase and levelling in parietal alpha power and a slower, but steady increase in frontal theta power. No consistent trend could be observed in the fNIRS data. Thus, more research on fNIRS is needed to understand its possibilities and limits for MF assessment, and a combination with EEG is advisable to compare and validate results. Until then, EEG remains the better choice for continuous MF assessment in cockpit applications because of its high sensitivity to a transition from alert to fatigued, even before performance is impaired.
精神疲劳(MF)会影响飞行员对意外事件的反应和表现,因此是航空领域的一个重要概念。MF 的生理测量,特别是 EEG,近年来 fNIRS,已经引起了广泛关注。然而,很少对这些测量方法进行系统的调查和比较。我们通过在 90 分钟的模拟飞行任务中进行任务时间来诱导 MF,并从 31 名参与者那里收集同时的 EEG-fNIRS、表现和自我报告数据。虽然他们的主观 MF 呈线性增加,但参与者能够在实验过程中保持表现稳定。EEG 数据显示顶叶 alpha 功率早期增加和稳定,额叶 theta 功率增加较慢但稳定。fNIRS 数据没有观察到一致的趋势。因此,需要对 fNIRS 进行更多的研究,以了解其在 MF 评估中的可能性和局限性,并建议与 EEG 相结合,以比较和验证结果。在那之前,由于其对从警觉到疲劳状态的过渡具有高灵敏度,甚至在表现受损之前,EEG 仍然是驾驶舱应用中连续 MF 评估的更好选择。