A quantitative comparison of different methods to detect cardiorespiratory coordination during night-time sleep

Cysarz, Dirk; Bettermann, Henrik; Lange, Silke; Geue, D.; Leeuwen, P. van

doi:10.1186/1475-925x-3-44

Cited by 48 publications

(37 citation statements)

References 58 publications

(48 reference statements)

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“…Formally, it differs from the previously described phase synchronization by considering the alignments in the time domain instead of the phase domain and the bidirectional aspect. The cardio-respiratory coordination is mostly observed during anesthesia (Galletly and Larsen, 1997), rest (Raschke, 1991), sleep (Raschke, 1991; Cysarz et al, 2004), and during relaxed condition, similar as the cardio-respiratory phase synchronization. An indicator of the difference between both the phenomena is their different dependencies on sleep stages where cardiorespiratory coordination is most frequently detected in light sleep (Raschke, 1991) in contrast to the phase synchronization which has its maximum during deep sleep (Bartsch et al, 2012).…”

Section: Cardiopulmonary Coupling and Synchronizationmentioning

confidence: 93%

“…This had been done for healthy subjects and also for patients with sleep-apnea by multiple groups (Cysarz et al, 2004; Kabir et al, 2010; Bartsch et al, 2012; Müller et al, 2012, 2014; Riedl et al, 2014; Solà-Soler et al, 2015). In healthy persons, it had been proven that the percentage of time spent with strong synchronization depends on sleep stages.…”

Section: Cardiopulmonary Coupling and Synchronizationmentioning

confidence: 99%

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Modulations of Heart Rate, ECG, and Cardio-Respiratory Coupling Observed in Polysomnography

et al. 2016

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The cardiac component of cardio-respiratory polysomnography is covered by ECG and heart rate recordings. However, their evaluation is often underrepresented in summarizing reports. As complements to EEG, EOG, and EMG, these signals provide diagnostic information for autonomic nervous activity during sleep. This review presents major methodological developments in sleep research regarding heart rate, ECG, and cardio-respiratory couplings in a chronological (historical) sequence. It presents physiological and pathophysiological insights related to sleep medicine obtained by new technical developments. Recorded nocturnal ECG facilitates conventional heart rate variability (HRV) analysis, studies of cyclical variations of heart rate, and analysis of ECG waveform. In healthy adults, the autonomous nervous system is regulated in totally different ways during wakefulness, slow-wave sleep, and REM sleep. Analysis of beat-to-beat heart-rate variations with statistical methods enables us to estimate sleep stages based on the differences in autonomic nervous system regulation. Furthermore, up to some degree, it is possible to track transitions from wakefulness to sleep by analysis of heart-rate variations. ECG and heart rate analysis allow assessment of selected sleep disorders as well. Sleep disordered breathing can be detected reliably by studying cyclical variation of heart rate combined with respiration-modulated changes in ECG morphology (amplitude of R wave and T wave).

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Section: Cardiopulmonary Coupling and Synchronizationmentioning

confidence: 93%

Section: Cardiopulmonary Coupling and Synchronizationmentioning

confidence: 99%

Modulations of Heart Rate, ECG, and Cardio-Respiratory Coupling Observed in Polysomnography

et al. 2016

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“…The study was carried for the following m ∶ n coordination: n = 1: m = 2,…,8; n = 2: m = 5,7,9,11,13 and n = 3: m = 7,8,10,11,13,14,16,17,19,20. We used a threshold value of i = 0.025 for the phase difference as suggested by Cysarz et al [24].…”

Section: Methodsmentioning

confidence: 99%

“…It was initially described as short intermittent periods [17], [18], [19] during which the phases of heart rate and respiratory rate coincide with different integer ratios known as phase locking ratios [20], [21], [22]. Cardiorespiratory coordination has been reported in healthy adults [22], [23], athletes [17], [20], sleeping humans [24], [25], infants [26] and anesthetized rats [27]. Although the mechanisms and physiological significance underlying coordination between respiration and heart rate are not understood, its quantification might have clinical merit e.g.…”

Section: Introductionmentioning

confidence: 99%

Cardiorespiratory Phase-Coupling Is Reduced in Patients with Obstructive Sleep Apnea

et al. 2010

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Cardiac and respiratory rhythms reveal transient phases of phase-locking which were proposed to be an important aspect of cardiorespiratory interaction. The aim of this study was to quantify cardio-respiratory phase-locking in obstructive sleep apnea (OSA). We investigated overnight polysomnography data of 248 subjects with suspected OSA. Cardiorespiratory phase-coupling was computed from the R-R intervals of body surface ECG and respiratory rate, calculated from abdominal and thoracic sensors, using Hilbert transform. A significant reduction in phase-coupling was observed in patients with severe OSA compared to patients with no or mild OSA. Cardiorespiratory phase-coupling was also associated with sleep stages and was significantly reduced during rapid-eye-movement (REM) sleep compared to slow-wave (SW) sleep. There was, however, no effect of age and BMI on phase coupling. Our study suggests that the assessment of cardiorespiratory phase coupling may be used as an ECG based screening tool for determining the severity of OSA.

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“…In order to determine the values of m and n, we selected one value of n at a time and looked for coordinations at different values of m. The study was carried for the following m:n coordinations: n = 1: m = 2,…,7 and n = 2: m = 5,7,9,11,13. We used a threshold value of 0.025 for the phase difference as it was suggested by Cysarz et al [16].…”

Section: ) Synchronization Analysismentioning

confidence: 99%

Effect of Postural Changes on Cardiorespiratory Coordination in Humans

Kabir

Saint

Abbott

et al. 2012

IJCEE

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In this study we assessed the effect of body postural changes from the supine (Sup) to the upright (Up) position on the magnitude and phase of respiratory sinus arrhythmia (RSA) and the phase-locking between the heart rhythm and respiration. In eight healthy human subjects, electrocardiograms (ECG) and respiratory signals were recorded. The magnitude and phase of RSA were evaluated by selective averaging of R-R interval changes from multiple respiratory cycles over the respiratory phase. For the assessment of cardiorespiratory coordination, we analysed the phase-locking between heart rate, computed from R-R intervals of ECG, and respiratory rate, computed from intervals of inspiratory onsets of respiration, using Hilbert transform. A significant decrease in the magnitude of RSA and percentage and duration of phase-locking between heart rate and respiratory rate was observed during Up as compared to Sup. Further, there was a significant increase in the phase of RSA during Up as compared to Sup. In conclusion, measures of RSA and interaction between cardiac and respiratory rhythms are affected by body posture in humans.

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A quantitative comparison of different methods to detect cardiorespiratory coordination during night-time sleep

Cited by 48 publications

References 58 publications

Modulations of Heart Rate, ECG, and Cardio-Respiratory Coupling Observed in Polysomnography

Modulations of Heart Rate, ECG, and Cardio-Respiratory Coupling Observed in Polysomnography

Cardiorespiratory Phase-Coupling Is Reduced in Patients with Obstructive Sleep Apnea

Effect of Postural Changes on Cardiorespiratory Coordination in Humans

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