Paperdoi:10.5665/sleep.1688
Heart Rate Variability Can Be Used to Estimate Sleepiness-related Decrements in Psychomotor Vigilance during Total Sleep Deprivation
Sleep 2012;35(3):325–334
TL;DR
24 healthy men, 40 h constant routine, 10-min PVT every 2 h. RR-interval power density at 0.02–0.08 Hz tracked the 40-h profile of PVT lapses and identified sleepiness-related lapse increases about as well as EEG power density and with sensitivity/specificity similar to PERCLOS.
- Form factor: ECG + EEG + camera
Abstract
Study objectivesTo assess whether changes in psychomotor vigilance during sleep deprivation can be estimated using heart rate variability (HRV).DesignHRV, ocular, and electroencephalogram (EEG) measures were compared for their ability to predict lapses on the Psychomotor Vigilance Task (PVT).SettingChronobiology and Sleep Laboratory, Duke-NUS Graduate Medical School Singapore.ParticipantsTwenty-four healthy Chinese men (mean age ± SD = 25.9 ± 2.8 years).InterventionsSubjects were kept awake continuously for 40 hours under constant environmental conditions. Every 2 hours, subjects completed a 10-minute PVT to assess their ability to sustain visual attention.Measurements and resultsDuring each PVT, we examined the electrocardiogram (ECG), EEG, and percentage of time that the eyes were closed (PERCLOS). Similar to EEG power density and PERCLOS measures, the time course of ECG RR-interval power density in the 0.02-0.08-Hz range correlated with the 40-hour profile of PVT lapses. Based on receiver operating characteristic curves, RR-interval power density performed as well as EEG power density at identifying a sleepiness-related increase in PVT lapses above threshold. RR-interval power density (0.02-0.08 Hz) also classified subject performance with sensitivity and specificity similar to that of PERCLOS.ConclusionsThe ECG carries information about a person's vigilance state. Hence, HRV measures could potentially be used to predict when an individual is at increased risk of attentional failure. Our results suggest that HRV monitoring, either alone or in combination with other physiologic measures, could be incorporated into safety devices to warn drowsy operators when their performance is impaired.
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Chua, E. C., Tan, W. Q., Yeo, S. C., Lau, P., Lee, I., Mien, I. H., Puvanendran, K., & Gooley, J. J. (2012). Heart Rate Variability Can Be Used to Estimate Sleepiness-related Decrements in Psychomotor Vigilance during Total Sleep Deprivation. Sleep 2012, 35(3), 325–334. https://doi.org/10.5665/sleep.1688
Chua, E. C., W. Q. Tan, S. C. Yeo, P. Lau, I. Lee, I. H. Mien, K. Puvanendran, and J. J. Gooley. 2012. "Heart Rate Variability Can Be Used to Estimate Sleepiness-related Decrements in Psychomotor Vigilance during Total Sleep Deprivation." Sleep 2012 35 (3): 325–334. https://doi.org/10.5665/sleep.1688.
Chua, E. C., Tan, W. Q., Yeo, S. C., Lau, P., Lee, I., Mien, I. H., Puvanendran, K. and Gooley, J. J. (2012) 'Heart Rate Variability Can Be Used to Estimate Sleepiness-related Decrements in Psychomotor Vigilance during Total Sleep Deprivation', Sleep 2012, 35(3), pp. 325–334. doi: 10.5665/sleep.1688.
Chua, E. C., et al. "Heart Rate Variability Can Be Used to Estimate Sleepiness-related Decrements in Psychomotor Vigilance during Total Sleep Deprivation." Sleep 2012, vol. 35, no. 3, 2012, pp. 325–334. https://doi.org/10.5665/sleep.1688.
E. C. Chua et al., "Heart Rate Variability Can Be Used to Estimate Sleepiness-related Decrements in Psychomotor Vigilance during Total Sleep Deprivation," Sleep 2012, vol. 35, no. 3, pp. 325–334, 2012, doi: 10.5665/sleep.1688.
@article{chua2012heart,
title = {{Heart Rate Variability Can Be Used to Estimate Sleepiness-related Decrements in Psychomotor Vigilance during Total Sleep Deprivation}},
author = {Chua, E. C. and Tan, W. Q. and Yeo, S. C. and Lau, P. and Lee, I. and Mien, I. H. and Puvanendran, K. and Gooley, J. J.},
year = {2012},
journal = {Sleep 2012},
volume = {35},
number = {3},
pages = {325--334},
doi = {10.5665/sleep.1688}
}Added to the ChatPPG research hub