Is slow wave sleep an appropriate recording condition for heart rate variability analysis?

Brandenberger, G.; Buchheit, Martin; Ehrhart, J; Simon, Chantal; Piquard, François

doi:10.1016/j.autneu.2005.06.002

Cited by 76 publications

(82 citation statements)

References 30 publications

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“…Moreover, Convertino's (Convertino 2003) analyses were performed at rest, whereas we analyzed HRV during the early minutes after moderate exercise. Comparing both conditions is not easy because several confounding factors might differentially affect cardiovascular recordings [i.e., noise, light, body movements in the resting state (Brandenberger et al 2005)] or modulate the autonomic effect on heart rate [i.e., system stress metabolite accumulation (Miyamoto et al 2003), anaerobic participation (Buchheit et al 2007a) or transient hypotension in the post-exercise situation].…”

Section: Plasma Volume Changes After Supramaximal Exercisementioning

confidence: 99%

Exercise-induced plasma volume expansion and post-exercise parasympathetic reactivation

et al. 2008

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The purpose of this study was to investigate the effect of exercise-induced plasma volume expansion on post-exercise parasympathetic reactivation. Before (D(0)) and 2 days after (D(+2)) a supramaximal exercise session, 11 men (21.4 +/- 2.6 years and BMI = 23.0 +/- 1.4) performed 6-min of submaximal running where heart rate (HR) recovery (HRR) and HR variability (HRV) indices were calculated during the first 10 min of recovery. Relative plasma volume changes (PV) were calculated using changes in hematocrit and hemoglobin measured over consecutive mornings from D(0) to D(+2). Parasympathetic reactivation was evaluated through HRR and vagal-related indexes calculated during a stationary period of recovery. Compared with D(0), PV (+4.8%, P < 0.01) and all vagal-related HRV indices were significantly higher at D(+2) (all P < 0.05). HRR was not different between trials. Changes in HRV indices, but not HRR, were related to PV (all P < 0.01). HRR and HRV indices characterize distinct independent aspects of cardiac parasympathetic function, with HRV indices being more sensitive to changes in plasma volume than HRR.

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Section: Plasma Volume Changes After Supramaximal Exercisementioning

confidence: 99%

Exercise-induced plasma volume expansion and post-exercise parasympathetic reactivation

et al. 2008

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“…23,24 This was associated with an increased beat-to-beat variability (RMSSD) that was significantly different between REM and SWS. In healthy subjects SWS is characterized by a predominant respiratory sinus arrhythmia, 25 and the relative breathing stability in SWS compared to REM sleep may largely explain these findings. …”

Section: Effect Of Sleep Stagementioning

confidence: 99%

Variability of QT Interval Duration in Obstructive Sleep Apnea: An Indicator of Disease Severity

Baumert

Smith

Catcheside

et al. 2008

Sleep

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Study Objective: To determine OSA-related changes in variability of QT interval duration and in heart rate variability (HRV), and to evaluate the relationship of these parameters to disease severity. Design: Retrospective analysis of diagnostic sleep records. Settings: Clinical sleep laboratory in a hospital setting. Patients: Twenty patients (12 males and 8 females) without significant comorbidities who were undergoing polysomnography were studied. Measurements and Results: Standard heart rate variability measures and QT variability (Berger algorithm) were computed over consecutive 5-minute ECG epochs throughout the night. The effect of sleep stage and the relationship between these parameters and the severity of OSA as determined by the respiratory disturbance index (RDI) were explored. Further, a linear regression model of QT variability was developed. Severity of OSA (RDI) was 49 ± 28 (range from 17-107) events/ hr. QT variability was the only ECG measure significantly correlated with RDI (both log-transformed; r = 0.6, P = 0.006). Further, QT variability was correlated with the minimum oxygen saturation (r = −0.55, P = 0.01). Sleep stage showed a significant effect on HRV, but not on QT variability. In the regression model, RDI was the strongest predictor of QT variability (R 2 increase 38%), followed by high and low frequency power of HRV (R 2 increase 10% each). Conclusion: Obstructive sleep apnea is associated with changes in QT interval variability during sleep. The variance of beat-to-beat QT intervals correlates more strongly with the severity of OSA (as determined by RDI) than standard measures of heart rate variability, and is correlated with blood oxygenation, but not sleep stage. Keywords: QT variability; heart rate variability; arousal; sleep stage; respiratory disturbance index. Citation: Baumert M; Smith J; Catcheside P; McEvoy RD; Abbott D; Sanders P; Nalivaiko E. Variability of QT interval duration in obstructive sleep apnea: an indicator of disease severity. SLEEP 2008;31(7):959-966. Disclosure StatementThis was not an industry supported study. The authors have indicated no financial conflicts of interest.

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“…Sleep represents a condition relatively free of external disruptive events that can affect measurement of HRV while awake (20), allowing a more accurate measure of basal autonomic activity (21). However, sleep is not a uniform state with regard to cardiovascular activity.…”

Section: Introductionmentioning

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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Is slow wave sleep an appropriate recording condition for heart rate variability analysis?

Cited by 76 publications

References 30 publications

Exercise-induced plasma volume expansion and post-exercise parasympathetic reactivation

Exercise-induced plasma volume expansion and post-exercise parasympathetic reactivation

Variability of QT Interval Duration in Obstructive Sleep Apnea: An Indicator of Disease Severity

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

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