Abe Takashi, Mollicone Daniel, Basner Mathias, Dinges David F
Space Biomedical Research Office, Flight Crew Operations and Technology Department, Tsukuba Space Center, Japan Aerospace Exploration Agency, Tsukuba, Ibaraki, Japan.
Pulsar Informatics, Inc., Philadelphia, Pennsylvania, USA.
Sleep Biol Rhythms. 2014 Apr 1;12(2):74-84. doi: 10.1111/sbr.12067.
Maintaining human alertness and behavioral capability under conditions of sleep loss and circadian misalignment requires fatigue management technologies due to: (1) dynamic nonlinear modulation of performance capability by the interaction of sleep homeostatic drive and circadian regulation; (2) large differences among people in neurobehavioral vulnerability to sleep loss; (3) error in subjective estimates of fatigue on performance; and (4) to inform people of the need for recovery sleep. Two promising areas of technology have emerged for managing fatigue risk in safety-sensitive occupations. The first involves preventing fatigue by optimizing work schedules using biomathematical models of performance changes associated with sleep homeostatic and circadian dynamics. Increasingly these mathematical models account for individual differences to achieve a more accurate estimate of the timing and magnitude of fatigue effects on individuals. The second area involves technologies for detecting transient fatigue from drowsiness. The Psychomotor Vigilance Test (PVT), which has been extensively validated to be sensitive to deficits in attention from sleep loss and circadian misalignment, is an example in this category. Two shorter-duration versions of the PVT recently have been developed for evaluating whether operators have sufficient behavioral alertness prior to or during work. Another example is online tracking the percent of slow eyelid closures (PERCLOS), which has been shown to reflect momentary fluctuations of vigilance. Technologies for predicting and detecting sleepiness/fatigue have the potential to predict and prevent operator errors and accidents in safety-sensitive occupations, as well as physiological and mental diseases due to inadequate sleep and circadian misalignment.
在睡眠缺失和昼夜节律失调的情况下,维持人体的警觉性和行为能力需要疲劳管理技术,原因如下:(1) 睡眠稳态驱动力和昼夜节律调节的相互作用对性能能力进行动态非线性调制;(2) 人们在对睡眠缺失的神经行为易感性方面存在很大差异;(3) 对疲劳对性能影响的主观估计存在误差;(4) 告知人们恢复睡眠的必要性。在安全敏感职业中,已经出现了两个有前景的技术领域来管理疲劳风险。第一个领域涉及通过使用与睡眠稳态和昼夜节律动态相关的性能变化的生物数学模型来优化工作时间表,从而预防疲劳。这些数学模型越来越多地考虑个体差异,以更准确地估计疲劳对个体的影响时间和程度。第二个领域涉及从嗜睡中检测短暂疲劳的技术。心理运动警觉性测试(PVT)已被广泛验证对睡眠缺失和昼夜节律失调引起的注意力缺陷敏感,就是这一类别的一个例子。最近开发了两个持续时间较短的PVT版本,用于评估操作员在工作前或工作期间是否具有足够的行为警觉性。另一个例子是在线跟踪缓慢眼睑闭合百分比(PERCLOS),它已被证明能反映警觉性的瞬间波动。预测和检测嗜睡/疲劳的技术有可能预测和预防安全敏感职业中的操作员错误和事故,以及因睡眠不足和昼夜节律失调引起的生理和心理疾病。