Linear Mixed-Effects Modeling of the Relationship Between Heart Rate Variability and Fatigue Arising from Sleep Deprivation

Fogt, Donovan L.; Cooke, William H.; Kalns, John; Michael, Darren J.

doi:10.3357/asem.3014.2011

Cited by 9 publications

(8 citation statements)

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“…Spectral indices of HRV have been used to assess the dynamics of the ANS, and it was suggested that the markers of parasympathetic and sympathetic activities are largely found in the HFs and LFs, respectively (Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology, 1996). The effects of sleep deprivation on HRV have been extensively studied, with different levels of success (Chua et al, 2012;Fogt, Cooke, Kalns, & Michael, 2011;Fogt, Kalns, & Michael, 2010;Glos, Fietze, Blau, Baumann, & Penzel, 2014;Nakano et al, 2000;Pagani et al, 2009;Vicente, Laguna, Bartra, & Bailón, 2016;Viola, James, Archer, & Dijk, 2008;Zhong et al, 2005). In general, these studies found that HRV alone has a limited potential to delineate the effects of sleep deprivation.…”

Section: Introductionmentioning

confidence: 99%

Human Performance Deterioration Due to Prolonged Wakefulness Can Be Accurately Detected Using Time-Varying Spectral Analysis of Electrodermal Activity

Posada-Quintero¹,

Bolkhovsky

Qin

et al. 2018

Hum Factors

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Section: Introductionmentioning

confidence: 99%

Human Performance Deterioration Due to Prolonged Wakefulness Can Be Accurately Detected Using Time-Varying Spectral Analysis of Electrodermal Activity

Posada-Quintero¹,

Bolkhovsky

Qin

et al. 2018

Hum Factors

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“…Fatigue, the subjective feeling of tiredness and exhaustion, accompanies experimentally controlled sleep deprivation 5 , 6 , naturally occurring poor quality sleep 7 , and insufficient sleep 8 , and seems to be associated with behavioral reductions in effort. Though loss of sleep typically leads to greater fatigue, there is considerable variability in subjective feelings of fatigue following sleep loss 9 .…”

Section: Introductionmentioning

confidence: 99%

The role of sleep deprivation and fatigue in the perception of task difficulty and use of heuristics

et al. 2018

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Objectives This study investigated the effects of sleep deprivation on perception of task difficulty and use of heuristics (mental shortcuts) compared to naturally-experienced sleep at home. Methods: Undergraduate students were screened and assigned through block-random assignment to Naturally-Experienced Sleep (NES; n=19) or Total Sleep Deprivation (TSD; n=20). The next morning, reported fatigue, perception of task difficulty, and use of “what-is-beautiful-is-good,” “greedy algorithm,” and “speed-accuracy trade-off” heuristics were assessed. Results: NES slept for an average of 354.74 minutes (SD=72.84), or 5.91 hours. TSD rated a reading task as significantly more difficult and requiring more time than NES. TSD was significantly more likely to use the greedy algorithm heuristic by skipping instructions and the what-is-beautiful-is-good heuristic by rating an unattractive consumer item with a favorable review as poor quality. Those in Total Sleep Deprivation who chose more difficult math problems made this selection to finish the task more quickly in findings approaching significance, indicating use of the speed-accuracy trade-off heuristic. Collapsed across conditions, self-reported fatigue predicted greater perceived difficulty in both the reading task and a visuo-motor task, higher quality rating for the attractive consumer item, and lower quality rating for the unattractive consumer item. Conclusions: Findings indicate sleep deprivation and fatigue increase perceptions of task difficulty, promote skipping instructions, and impair systematic evaluation of unappealing stimuli compared to naturally-experienced sleep.

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“…Despite the spectral overlap, HRVHF is widely used as a marker of parasympathetic function and HRVLF is used as a marker of sympathetic function (Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology, 1996). Many studies have used indices of HRV to track the effects of sleep deprivation on humans (Nakano et al, 2000; Zhong et al, 2005; Viola et al, 2008; Pagani et al, 2009; Fogt et al, 2010, 2011; Chua et al, 2012; Glos et al, 2014; Vicente et al, 2016), with different levels of success. These studies suggest that HRV has the potential to track several effects of sleep deprivation.…”

Section: Introductionmentioning

confidence: 99%

Sleep Deprivation in Young and Healthy Subjects Is More Sensitively Identified by Higher Frequencies of Electrodermal Activity than by Skin Conductance Level Evaluated in the Time Domain

et al. 2017

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We analyzed multiple measures of the autonomic nervous system (ANS) based on electrodermal activity (EDA) and heart rate variability (HRV) for young healthy subjects undergoing 24-h sleep deprivation. In this study, we have utilized the error awareness test (EAT) every 2 h (13 runs total), to evaluate the deterioration of performance. EAT consists of trials where the subject is presented words representing colors. Subjects are instructed to press a button (“Go” trials) or withhold the response if the word presented and the color of the word mismatch (“Stroop No-Go” trial), or the screen is repeated (“Repeat No-Go” trials). We measured subjects' (N = 10) reaction time to the “Go” trials, and accuracy to the “Stroop No-Go” and “Repeat No-Go” trials. Simultaneously, changes in EDA and HRV indices were evaluated. Furthermore, the relationship between reactiveness and vigilance measures and indices of sympathetic control based on HRV were analyzed. We found the performance improved to a stable level from 6 through 16 h of deprivation, with a subsequently sustained impairment after 18 h. Indices of higher frequencies of EDA related more to vigilance measures, whereas lower frequencies index (skin conductance leve, SCL) measured the reactiveness of the subject. We conclude that indices of EDA, including those of the higher frequencies, termed TVSymp, EDASymp, and NSSCRs, provide information to better understand the effect of sleep deprivation on subjects' autonomic response and performance.

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Linear Mixed-Effects Modeling of the Relationship Between Heart Rate Variability and Fatigue Arising from Sleep Deprivation

Abstract: In summary, our results suggest that HRV tracks fatigue arising from sleep deprivation. This noninvasive, objective tool can quantify fatigue in real time.

Cited by 9 publications

References 0 publications

Human Performance Deterioration Due to Prolonged Wakefulness Can Be Accurately Detected Using Time-Varying Spectral Analysis of Electrodermal Activity

Human Performance Deterioration Due to Prolonged Wakefulness Can Be Accurately Detected Using Time-Varying Spectral Analysis of Electrodermal Activity

The role of sleep deprivation and fatigue in the perception of task difficulty and use of heuristics

Sleep Deprivation in Young and Healthy Subjects Is More Sensitively Identified by Higher Frequencies of Electrodermal Activity than by Skin Conductance Level Evaluated in the Time Domain

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