Heart rate variability can be used to estimate sleepiness-related decrements in psychomotor vigilance during total sleep deprivation.

摘要: Study objectives To assess whether changes in psychomotor vigilance during sleep deprivation can be estimated using heart rate variability (HRV). Design HRV, ocular, and electroencephalogram (EEG) measures were compared for their ability to predict lapses on the Psychomotor Vigilance Task (PVT). Setting Chronobiology Sleep Laboratory, Duke-NUS Graduate Medical School Singapore. Participants Twenty-four healthy Chinese men (mean age ± SD = 25.9 2.8 years). Interventions Subjects kept awake continuously 40 hours under constant environmental conditions. Every 2 hours, subjects completed a 10-minute PVT sustain visual attention. Measurements results During each PVT, we examined electrocardiogram (ECG), EEG, percentage of time that eyes closed (PERCLOS). Similar EEG power density PERCLOS measures, course ECG RR-interval 0.02-0.08-Hz range correlated with 40-hour profile lapses. Based receiver operating characteristic curves, performed as well at identifying sleepiness-related increase above threshold. (0.02-0.08 Hz) also classified subject performance sensitivity specificity similar PERCLOS. Conclusions The carries information about person's state. Hence, HRV could potentially used when an individual is increased risk attentional failure. Our suggest monitoring, either alone or combination other physiologic incorporated into safety devices warn drowsy operators impaired.