Heart rate variability: sleep stage, time of night, and arousal influences

Bonnet, Michael H.; Arand, Donna L.

doi:10.1016/s0921-884x(96)96070-1

Cited by 367 publications

(261 citation statements)

References 21 publications

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“…Sleep stage and energy expenditure are strongly regulated by autonomic nervous system activity (35,36). Because effects of the nutrient composition of the meal on parasympathetic and sympathetic nervous system activity had been reported (37,38), indices of autonomic nervous system activity were also measured in the present study.…”

Section: Discussionmentioning

confidence: 99%

Effects of Nutrient Composition of Dinner on Sleep Architecture and Energy Metabolism during Sleep

Yajima

Seya

Iwayama

et al. 2014

J Nutr Sci Vitaminol

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Summary Energy metabolism and substrate oxidation during sleep correlate with sleep stage, suggesting that energy metabolism affects sleep architecture or vice versa. The aim of the present study was to examine whether changes in energy metabolism during sleep, induced by a high-carbohydrate or high-fat meal for dinner, affect sleep architecture. Ten healthy males participated in this study, sleeping 3 nonconsecutive nights in a whole-room calorimeter. The first night was scheduled as an adaptation to the experimental environment. The other 2 nights were experimental calorimetry in a balanced cross-over design with intrasubject comparisons. In each session, subjects comsumed a high carbohydrate (HCD: PFC510 : 10 : 80) or high fat (HFD: PFC510 : 78 : 12) meal at 2000 h and slept with a polysomnographic recording in a metabolic chamber for indirect calorimetry (0000 h to 0800 h). Slow wave sleep was decreased during the first sleep cycle and not changed during the second or third sleep cycle under HCD conditions compared with those of HFD. Energy expenditure was not affected by dietary condition but substrate oxidation reflected differences in dietary composition of the dinner during the first and second sleep cycle. The present study suggested the possibility that substrate availability during sleep affects substrate oxidation during sleep, and affects sleep architecture during the first sleep cycle.

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Section: Discussionmentioning

confidence: 99%

Effects of Nutrient Composition of Dinner on Sleep Architecture and Energy Metabolism during Sleep

Yajima

Seya

Iwayama

et al. 2014

J Nutr Sci Vitaminol

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“…Previous research has established that it is possible to assess information about sleep stages using heart rate variability. [32][33][34] Knowledge about sleep stages is essential to estimate sleep quality and diagnose different sleep-related disorders. An important outlook of the ability to measure heart rate is the possibility to evaluate sleep stages using the proposed sleep monitor and therefore improve the diagnostic abilities in sleep monitoring significantly.…”

Section: Discussionmentioning

confidence: 99%

Validation of a New System Using Tracheal Body Sound and Movement Data for Automated Apnea-Hypopnea Index Estimation

Kalkbrenner

Eichenlaub

Rüdiger

et al. 2017

Journal of Clinical Sleep Medicine

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Study Objectives: The current gold standard for assessment of obstructive sleep apnea is the in-laboratory polysomnography. This approach has high costs and inconveniences the patient, whereas alternative ambulatory systems are limited by reduced diagnostic abilities (type 4 monitors, 1 or 2 channels) or extensive setup (type 3 monitors, at least 4 channels). The current study therefore aims to validate a simplified automated type 4 monitoring system using tracheal body sound and movement data. Methods: Data from 60 subjects were recorded at the University Hospital Ulm. All subjects have been regular patients referred to the sleep center with suspicion of sleep-related breathing disorders. Four recordings were excluded because of faulty data. The study was of prospective design. Subjects underwent a full-night screening using diagnostic in-laboratory polysomnography and the new monitoring system concurrently. The apnea-hypopnea index (AHI) was scored blindly by a medical technician using in-laboratory polysomnography (AHIPSG). A unique algorithm was developed to estimate the apneahypopnea index (AHIest) using the new sleep monitor. Results: AHIest strongly correlates with AHIPSG (r 2 = .9871). A mean ± 1.96 standard deviation difference between AHIest and AHIPSG of 1.2 ± 5.14 was achieved. In terms of classifying subjects into groups of mild, moderate, and severe sleep apnea, the evaluated new sleep monitor shows a strong correlation with the results obtained by polysomnography (Cohen kappa > 0.81). These results outperform previously introduced similar approaches. Conclusions:The proposed sleep monitor accurately estimates AHI and diagnoses sleep apnea and its severity. This minimalistic approach may address the need for a simple yet reliable diagnosis of sleep apnea in an ambulatory setting. Clinical Trial Registration: Trial name: Validation of a new method for ambulant diagnosis of sleep related breathing disorders using body sound; URL: https://drks-neu.uniklinik-freiburg.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00011195; Identifier: DRKS00011195 Keywords: monitoring, movement analysis, respiratory sounds, sleep apnea Citation: Kalkbrenner C, Eichenlaub M, Rüdiger S, Kropf-Sanchen C, Brucher R, Rottbauer W. Validation of a new system using tracheal body sound and movement data for automated apnea-hypopnea index estimation. J Clin Sleep Med. 2017;13(10):1123-1130. I NTRO DUCTI O NWith a prevalence of 4% in adult men and 2% in women, obstructive sleep apnea (OSA) is one of the most common sleeprelated breathing disorders.1 Additionally, more than 75% of people suffering from moderate OSA are either undiagnosed or untreated.2 OSA is characterized by multiple breathing cessations during the night due to different possible causes. If untreated, this disorder can lead to extensive daytime sleepiness 3 and an elevated risk for cardiovascular disease. [4][5][6] The main criteria used to indicate the severity of OSA is the apneahypopnea index (AHI), which describes the mean number of breathing pa...

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“…Further, we analysed spectral measures of HRV within epochs of undisturbed non-REM and REM sleep that were preceded by at least 2-min of undisturbed sleep. In this way, we controlled for the effect that arousals and intervening wakefulness may have on HRV measures (27). Reduced parasympathetic modulation during sleep, as found in the women with PMS when symptomatic, may impact the restorative properties of sleep (28).…”

Section: Discussionmentioning

confidence: 99%

Reduced parasympathetic activity during sleep in the symptomatic phase of severe premenstrual syndrome

Baker

Colrain

Trinder

2008

Journal of Psychosomatic Research

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Objective-Severe premenstrual syndrome (PMS) is a common, distressing disorder in women that manifests during the premenstrual (late-luteal) phase of the ovulatory menstrual cycle. There is some evidence that altered autonomic function may be an important component of PMS but few studies have used heart rate variability (HRV), as a sensitive marker of autonomic activity, in severe PMS and findings are conflicting.Methods-We investigated HRV during sleep, a state relatively free of external disruptions, in nine women with severe PMS and twelve controls.Results-The normal-to-normal (NN) RR-interval was shorter during the sleep period in women with PMS than in controls in both the follicular and late-luteal phases of the menstrual cycle. The standard deviation of all NN intervals (SDNN), a measure of total variability in the inter-beat interval, was lower during the sleep period in the late-luteal phase than in the follicular phase in women with PMS. The square root of the mean of the sum of the squares of differences between adjacent NN intervals (rMSSD), a measure reflecting high frequency activity, showed a similar pattern. High frequency power, a marker of parasympathetic activity, was lower during non-rapid eye movement (non-REM) and REM sleep in the late-luteal phase than in the follicular phase in women with severe PMS. Controls had a shorter NN-interval, but similar HRV measures, in the late-luteal phase compared with the follicular phase.Conclusion-These results suggest that women with severe PMS have decreased parasympathetic activity during sleep in association with their premenstrual symptoms compared to when they are symptom-free.

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Heart rate variability: sleep stage, time of night, and arousal influences

Cited by 367 publications

References 21 publications

Effects of Nutrient Composition of Dinner on Sleep Architecture and Energy Metabolism during Sleep

Effects of Nutrient Composition of Dinner on Sleep Architecture and Energy Metabolism during Sleep

Validation of a New System Using Tracheal Body Sound and Movement Data for Automated Apnea-Hypopnea Index Estimation

Reduced parasympathetic activity during sleep in the symptomatic phase of severe premenstrual syndrome

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