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Reproducibility of Heart Rate Variability Is Parameter and Sleep Stage Dependent

Published on Jan 10, 2018in Frontiers in Physiology3.20
· DOI :10.3389/fphys.2017.01100
David Herzig4
Estimated H-index: 4
(University of Bern),
Prisca Eser22
Estimated H-index: 22
(University of Bern)
+ 3 AuthorsPeter Achermann55
Estimated H-index: 55
(UZH: University of Zurich)
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Abstract
Objective: Measurements of heart rate variability (HRV) during sleep are becoming increasingly popular as sleep could provide an optimal state for HRV assessments. While sleep stages have been reported to affect HRV, the effect of sleep stages on the variance of HRV parameters were hardly investigated. We aimed to assess the variance of HRV parameters during the different sleep stages. Further, we tested the accuracy of an algorithm using HRV to identify a 5-min segment within an episode of slow wave sleep (SWS, deep sleep). Methods: Polysomnographic (PSG) sleep recordings of 3 nights of 15 healthy young males were analyzed. Sleep was scored according to conventional criteria. HRV parameters of consecutive 5-min segments were analyzed for the different sleep stages. The total variance of HRV parameters was partitioned into between-subjects variance, between-nights variance and between-segments variance and compared between the different sleep stages. Intra-class correlation coefficients of all HRV parameters were calculated for all sleep stages. To identify an SWS segment based on HRV, Pearson correlation coefficients of consecutive RR-intervals (rRR) of moving 5-min windows (20-s steps). The linear trend was removed from the rRR time series and the first segment with rRR values 0.1 units below the mean rRR for at least 10 min was identified. A 5-min segment was placed in the middle of such an identified segment and the corresponding sleep stage was used to assess the accuracy of the algorithm. Results: Good reproducibility within and across nights was found for heart rate in all sleep stages and for high frequency (HF) power in SWS. Reproducibility of low frequency (LF) power and of LF/HF was poor in all sleep stages. Of all the 5-min segments selected based on HRV data, 87% were accurately located within SWS. Conclusions: SWS, a stable state that in contrast to waking is unaffected by internal and external factors, is a reproducible state that allows reliable determination of heart rate, and HF power, and can satisfactorily be detected based on RR-intervals, without the need of full PSG. Sleep may not be an optimal condition to assess LF power and LF/HF power ratio.
  • References (70)
  • Citations (6)
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References70
Newest
Published on Jan 1, 2018in IEEE Journal of Biomedical and Health Informatics4.22
Heenam Yoon3
Estimated H-index: 3
(SNU: Seoul National University),
Su Hwan Hwang6
Estimated H-index: 6
(SNU: Seoul National University)
+ 3 AuthorsKwang Suk Park31
Estimated H-index: 31
(SNU: Seoul National University)
We developed an automatic slow-wave sleep (SWS) detection algorithm that can be applied to groups of healthy subjects and patients with obstructive sleep apnea (OSA). This algorithm detected SWS based on autonomic activations derived from the heart rate variations of a single sensor. An autonomic stability, which is an SWS characteristic, was evaluated and quantified using R–R intervals from an electrocardiogram (ECG). The thresholds and the heuristic rule to determine SWS were designed based on...
Published on Jun 1, 2017in Sleep Medicine Reviews10.52
Kirsty L. Dodds2
Estimated H-index: 2
(USYD: University of Sydney),
Christopher B. Miller10
Estimated H-index: 10
(USYD: University of Sydney)
+ 2 AuthorsChristopher Gordon13
Estimated H-index: 13
(USYD: University of Sydney)
Summary Heart rate variability (HRV) is an objective marker that provides insight into autonomic nervous system dynamics. There is conflicting evidence regarding the presence of HRV impairment in insomnia patients. Web-based databases were used to systematically search the literature for all studies that compared the HRV of insomnia patients to controls or reported the HRV of insomnia patients before and after an intervention. 22 relevant papers were identified. Study characteristics were summar...
Daniel J. Plews8
Estimated H-index: 8
,
Paul B. Laursen42
Estimated H-index: 42
,
Martin Buchheit45
Estimated H-index: 45
Purpose:Heart-rate variability (HRV) is a popular tool for monitoring autonomic nervous system status and training adaptation in athletes. It is believed that increases in HRV indicate effective training adaptation, but these are not always apparent in elite athletes. Methods:Resting HRV was recorded in 4 elite rowers (rowers A, B, C, and D) over the 7-wk period before their success at the 2015 World Rowing Championships. The natural logarithm of the square root of the mean sum of the squared di...
Published on May 1, 2017in Pediatric Exercise Science1.71
Carla Cristiane da Silva10
Estimated H-index: 10
,
Maurizio Bertollo19
Estimated H-index: 19
+ 2 AuthorsFábio Yuzo Nakamura21
Estimated H-index: 21
Purpose:To examine which body position and indices present better reliability of heart rate variability (HRV) measures in children and to compare the HRV analyzed in different body positions between sexes. Method:Twenty eutrophic prepubertal children of each sex participated in the study. The RR intervals were recorded using a portable heart rate monitor twice a day for 7 min in the supine, sitting, and standing positions. The reproducibility was analyzed using the intraclass correlation coeffic...
David Herzig4
Estimated H-index: 4
,
Moreno Testorelli1
Estimated H-index: 1
+ 4 AuthorsMatthias Wilhelm18
Estimated H-index: 18
Background/Aim:There is increasing popularity for athletes to use heart rate variability (HRV) to tailor training. A time-efficient method is HRV assessment during deep sleep. The aim was to validate the selection of deep sleep segments identified by RR-intervals with simultaneous electroencephalography (EEG) recordings and to compare HRV parameters of these segments with those of standard morning supine measurements. Methods:In 11 world class alpine- skiers, RR-intervals were monitored during t...
Published on Apr 1, 2017in Physiological Measurement2.25
Heenam Yoon3
Estimated H-index: 3
(SNU: Seoul National University),
Su Hwan Hwang6
Estimated H-index: 6
(SNU: Seoul National University)
+ 3 AuthorsKwang Suk Park31
Estimated H-index: 31
(SNU: Seoul National University)
Published on Feb 24, 2017in Frontiers in Physiology3.20
David Herzig4
Estimated H-index: 4
(University of Bern),
Prisca Eser22
Estimated H-index: 22
(University of Bern)
+ 16 AuthorsTanja H. Kakebeeke18
Estimated H-index: 18
(Boston Children's Hospital)
Background: Recent studies have claimed a positive effect of physical activity and body composition on vagal tone. In pediatric populations, there is a pronounced decrease in heart rate with age. While this decrease is often interpreted as an age-related increase in vagal tone, there is some evidence that it may be related to a decrease in intrinsic heart rate. This factor has not been taken into account in most previous studies. The aim of the present study was to assess the association between...
Published on Feb 20, 2017in Frontiers in Psychology2.13
Sylvain Laborde17
Estimated H-index: 17
(German Sport University Cologne),
Emma Mosley5
Estimated H-index: 5
(BU: Bournemouth University),
Julian F. Thayer71
Estimated H-index: 71
(OSU: Ohio State University)
Psychophysiological research integrating heart rate variability (HRV) has increased during the last two decades, particularly given the fact that HRV is able to index cardiac vagal tone. Vagal tone, which represents the activity of the parasympathetic system, is acknowledged to be linked with many phenomena relevant for psychophysiological research, including self-regulation at the cognitive, emotional, social, and health levels. The ease of HRV collection and measurement coupled with the fact i...
Published on Jan 1, 2017 in BHI (Biomedical and Health Informatics)
X Xi Long11
Estimated H-index: 11
(TU/e: Eindhoven University of Technology),
Pedro Fonseca10
Estimated H-index: 10
(TU/e: Eindhoven University of Technology)
+ 3 AuthorsSteffen Leonhardt30
Estimated H-index: 30
(RWTH Aachen University)
Human slow wave sleep (SWS) during bedtime is paramount for energy conservation and memory consolidation. This work aims at automatically detecting SWS from nocturnal sleep using cardiorespiratory signals that can be acquired with unobtrusive sensors in a home-based scenario. From the signals, time-dependent features are extracted for continuous 30-s epochs. To reduce the measuring noise, body motion artifacts, and/or within-subject variability in physiology conveyed by the features and thus enh...
Published on Jan 1, 2017in Sleep Medicine3.36
Babak Amra10
Estimated H-index: 10
(IUMS: Isfahan University of Medical Sciences),
Mohaddeseh Behjati7
Estimated H-index: 7
(IUMS: Isfahan University of Medical Sciences)
+ 3 AuthorsNizal Sarrafzadegan41
Estimated H-index: 41
(IUMS: Isfahan University of Medical Sciences)
Abstract Objectives Heart rate variability (HRV) analysis is used for the evaluation of autonomic function in the cardiovascular system. Decreased HRV is associated with disorders affecting the autonomous system such as diabetes mellitus (DM) and obstructive sleep apnea (OSA). Previous studies have shown an association between OSA and DM. However, the interrelationships of HRV with OSA and DM are not well known. The aim of this study was to assess nocturnal HRV in patients who suffered from OSA ...
Cited By6
Newest
Published on May 13, 2019in Journal of Occupational Health1.80
Sanae Oriyama1
Estimated H-index: 1
(Hiroshima University),
Yukiko Miyakoshi1
Estimated H-index: 1
(Nihon Fukushi University),
Moshiur Rahman1
Estimated H-index: 1
(Hiroshima University)
Published on May 1, 2019in Computers in Biology and Medicine2.29
Reza Sadeghi4
Estimated H-index: 4
,
Tanvi Banerjee10
Estimated H-index: 10
+ 1 AuthorsLarry Wayne Lawhorne14
Estimated H-index: 14
Abstract Most caregivers of people with dementia (CPWD) experience a high degree of stress due to the demands of providing care, especially when addressing unpredictable behavioral and psychological symptoms of dementia. Such challenging responsibilities make caregivers susceptible to poor sleep quality with detrimental effects on their overall health. Hence, monitoring caregivers’ sleep quality can provide important CPWD stress assessment. Most current sleep studies are based on polysomnography...
Published on Mar 1, 2019in Journal of Psychosomatic Research2.72
Kimberly A. Bell3
Estimated H-index: 3
,
Kimberly A. Bell + 2 AuthorsThomas A. Mellman29
Estimated H-index: 29
(HU: Howard University)
Abstract Background Heightened autonomic nervous system (ANS) arousal is a well-established contributor to the effect of stress on adverse cardiovascular health outcomes which disproportionately affect African Americans. ANS arousal is normally attenuated during sleep and compromise of this shift is associated with multiple adverse cardiovascular outcomes. Parasympathetic nervous system (PNS) dominance during sleep can be altered by stress. Racism has been recognized to have many negative health...
Published on Feb 6, 2019in Journal of Clinical Medicine
Sylvain Laborde17
Estimated H-index: 17
,
Thomas Hosang1
Estimated H-index: 1
+ 1 AuthorsFabrice Dosseville13
Estimated H-index: 13
Breathing techniques are part of traditional relaxation methods; however, their influence on psychophysiological variables related to sleep is still unclear. Consequently, the aim of this paper was to investigate the influence of a 30-day slow-paced breathing intervention compared to social media use on subjective sleep quality and cardiac vagal activity (CVA, operationalized via high-frequency heart rate variability). Healthy participants (n = 64, 33 male, 31 female, M = 22.11, SD = 3.12) were ...
Amir H. Meghdadi8
Estimated H-index: 8
,
Djordje Popovic11
Estimated H-index: 11
+ 3 AuthorsAjay Verma9
Estimated H-index: 9
Objective: To demonstrate the utility of rheoencephalography (REG) for measuring cerebral blood flow and fluid dynamics during different stages of sleep. Methods: Anteroposterior cranial electrical impedance was measured with concurrent polysomnography in a group of healthy subjects during sleep. Transcranial electrical impedance was characterized by measuring the peak-to-trough and envelope of the filtered pulsative REG signal as well as its frequency. The sensitivity of the REG amplitude to ch...
Published on Dec 1, 2018in Sleep
Christi S. Ulmer13
Estimated H-index: 13
(Duke University),
Martica Hall53
Estimated H-index: 53
(University of Pittsburgh)
+ 2 AuthorsAnne Germain36
Estimated H-index: 36
(University of Pittsburgh)
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