Variations in breathing patterns increase low frequency contents in HRV spectra

García-González, M.A.; Seisdedos, Carlos Román Vázquez; Pallás-Areny, R.

doi:10.1088/0967-3334/21/3/307

Cited by 27 publications

(12 citation statements)

References 12 publications

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“…It is a consequence of the decreased AHI, rather than of a further disturbance in the autonomic control and vagal withdrawal as it had been previously misinterpreted . Our findings of a significant decrease in SDNN, RMSSD, LF and HF with CPAP therapy in patients with CSA may be attributed to the normalized breathing pattern during the night in those patients, since these parameters are strongly dependent on respiration frequency and depth . In concordance with that explanation is the presence of a significant strong correlation between the decrease in AHI and in lnHF (influenced strongly by breathing pattern) with the application of CPAP.…”

Section: Discussionsupporting

confidence: 85%

“…31 Our findings of a significant decrease in SDNN, RMSSD, LF and HF with CPAP therapy in patients with CSA may be attributed to the normalized breathing pattern during the night in those patients, since these parameters are strongly dependent on respiration frequency and depth. 16,32 In concordance with that explanation is the presence of a significant strong correlation between the decrease in AHI and in lnHF (influenced strongly by breathing pattern 33 ) with the application of CPAP. Similar results with a decrease in HRV parameters after CPAP application were found by Kufoy et al in patients with obstructive sleep apnoea.…”

Section: Discussionmentioning

confidence: 74%

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The effect of continuous positive airway pressure on heart rate variability during the night in patients with chronic heart failure and central sleep apnoea

Terziyski

Draganova

Taralov

et al. 2016

Clin Exp Pharma Physio

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Continuous positive airway pressure (CPAP) improves autonomic activity in patients with chronic heart failure (CHF) and central sleep apnoea (CSA), but its effect on heart rate variability (HRV) during therapy has not been reported. We hypothesized that CPAP may decrease HRV, despite its beneficial effects on sympathetic overactivation, due to the expected stabilization of breathing. Sixty-seven CHF patients underwent polysomnography (PSG). Ten of them presented with CSA (age 66.1±8.5 years, apnoea-hypopnea index [AHI]=57.6±23.3, central AHI [cAHI]=41.6±24.6 [mean±SD]) and were subjected to a second PSG with manual CPAP titration. Beat-to-beat heart intervals for a 6-hour period of sleep were extracted from each recording and HRV was analysed. CPAP significantly reduced AHI (AHI=23.1±18.3 P=.004). Standard deviation of normal-normal interbeat interval (SDNN) (61.5±29.0 vs 49.5±19.3 ms, P=.021), root mean square of successive differences (RMSSD) (21.8±9.2 vs 16.4±7.1 ms, P=.042), total power (lnTP=7.8±1.1 vs 7.4±0.8 ms , P=.037), low frequency power (lnLF=5.5±1.5 vs 5.0±1.4 ms , P=.003) and high frequency power (lnHF=4.6±1.0 vs 4.0±1.0 ms , P=.024) were decreased. There was a strong correlation between the decrease in AHI and the decrease in lnHF (Spearman's ρ=.782). CPAP leads to a decrease in spectral and time domain parameters of HRV during therapy in CHF patients with CSA. These changes are best explained by the effect which CPAP-influenced breathing pattern and lowered AHI exert on HRV.

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Section: Discussionsupporting

confidence: 85%

Section: Discussionmentioning

confidence: 74%

The effect of continuous positive airway pressure on heart rate variability during the night in patients with chronic heart failure and central sleep apnoea

Terziyski

Draganova

Taralov

et al. 2016

Clin Exp Pharma Physio

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“…Prior to data collection, the subjects rested quietly in the supine position for 15 min in a semi-darkened room, temperature 22-25°C. A metronome was set to pace the breathing at 12 breaths min -1 (0.2 Hz) to ensure that the HF and LF components could be properly distinguished (García-Gonzá lez et al 2000). The subjects were allowed to familiarise with the paced breathing as necessary, typically 60 s, during which and throughout the 5 min ECG recording they were not spoken to.…”

Section: Physical Activity Levelmentioning

confidence: 99%

Relationships between pulse wave velocity and heart rate variability in healthy men with a range of moderate-to-vigorous physical activity levels

et al. 2006

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Pulse wave velocity (PWV) is associated with heart rate variability (HRV) in 24-39-year-old men. This study of 40-65-year-old men ranging in moderate-to-vigorous physical activity levels investigated whether (a) PWV is related to spectral HRV, (b) using normalised units for HRV influences that relationship, and (c) HRV predicts PWV when other factors, including age and blood pressure, are accounted for. Subjects were healthy men (N = 115), mean (SD) age 50.8 (7.1) years. Carotid-femoral PWV was measured using Complior. HRV was derived from a 5 min ECG for total, high-frequency, and low-frequency power (TP, HF, and LF, respectively), the LF/HF ratio, and normalised units for HF (HFnu) and LF (LFnu). Non-parametric data were natural log-transformed. PWV was 8.5 (1.4) m s -1 . TP, HF, LF, LF/HF, HFnu and LFnu were 1908 (2195) m s 2 , 577 (1034) m s 2 , 457 (514) m s 2 , 1.5 (1.3), 46.8 (17.9), and 49.4 (19.4), respectively. PWV was inversely associated with TP (R 2 = 0.061, p = 0.008), HF (R 2 = 0.095, p = 0.001), LF (R 2 = 0.086, p = 0.002) and HFnu (R 2 = 0.040, p = 0.031), but was not associated with LF/HF (R 2 = 0.020, p = 0.136) or LFnu (R 2 = 0.028 p = 0.076).Only age and systolic blood pressure (adjusted R 2 = 0.306, p < 0.001) predicted PWV in multivariate analysis. This study has shown that PWV was weakly associated with TP and HF. The use of normalised units only influenced the relationship between PWV and LF. Finally, relationships between PWV and HRV are mediated through age and systolic blood pressure in this population of men ranging in moderate-to-vigorous physical activity level.

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“…The effect of breathing-frequency variations in the spectral quantification HRV signals have investigated [8] variations but not correlated to epilepsy phenomenon that could be related to arrhythmia and energy expenditure. Recalling arrhythmia critical [9] issues versus EEG states, some authors [10] discovered that arrhythmias occurred in 20% of patients who suffered from possible epilepsy.…”

Section: Introductionmentioning

confidence: 99%

Low-frequency detection in ECG signals and joint EEG-Ergospirometric measurements for precautionary diagnosis

Lay-Ekuakille¹,

Vergallo²,

Trabacca³

et al. 2013

Measurement

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Variations in breathing patterns increase low frequency contents in HRV spectra

Cited by 27 publications

References 12 publications

The effect of continuous positive airway pressure on heart rate variability during the night in patients with chronic heart failure and central sleep apnoea

The effect of continuous positive airway pressure on heart rate variability during the night in patients with chronic heart failure and central sleep apnoea

Relationships between pulse wave velocity and heart rate variability in healthy men with a range of moderate-to-vigorous physical activity levels

Low-frequency detection in ECG signals and joint EEG-Ergospirometric measurements for precautionary diagnosis

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