Heart rate autonomic responses during deep breathing and walking in hospitalised patients with chronic heart failure

Caruso, Flávia Cristina Rossi; Arena, Ross; Mendes, Renata Gonçalves; Reis, Michel Silva; Papa, Valéria; Borghi‐Silva, Audrey

doi:10.3109/09638288.2010.511420

Cited by 13 publications

(4 citation statements)

References 36 publications

(39 reference statements)

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“…Low values of vagal indices and high values of sympathetic modulation were found in stable patients with moderate HF in all three conditions. These findings are consistent with other studies using portable ECGs and heart rate monitors [8, 24, 25]. The present study showed that short-term HRV indices are stable and reproducible using Holter and PolarS810i at rest because, as expected, the capturing and editing of stationary signals facilitate HRV analysis in stable conditions.…”

Section: Discussionsupporting

confidence: 93%

Reproducibility for Heart Rate Variability Analysis during 6-Min Walk Test in Patients with Heart Failure and Agreement between Devices

et al. 2016

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Heart rate variability (HRV) analysis is a useful method to assess abnormal functioning in the autonomic nervous system and to predict cardiac events in patients with heart failure (HF). HRV measurements with heart rate monitors have been validated with an electrocardiograph in healthy subjects but not in patients with HF. We explored the reproducibility of HRV in two consecutive six-minute walk tests (6MW), 60-minute apart, using a heart rate monitor (PolarS810i) and a portable electrocardiograph (called Holter) in 50 HF patients (mean age 59 years, NYHA II, left ventricular ejection fraction ~35%). The reproducibility for each device was analysed using a paired t-test or the Wilcoxon signed-rank test. Additionally, we assessed the agreement between the two devices based on the HRV indices at rest, during the 6MW and during recovery using concordance correlation coefficients (CCC), 95% confidence intervals and Bland-Altman plots. The test-retest for the HRV analyses was reproducible using Holter and PolarS810i at rest but not during recovery. In the second 6MW, patients showed significant increases in rMSSD and walking distance. The PolarS810i measurements had remarkably high concordance correlation [0.86

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Section: Discussionsupporting

confidence: 93%

Reproducibility for Heart Rate Variability Analysis during 6-Min Walk Test in Patients with Heart Failure and Agreement between Devices

et al. 2016

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“…In the time domain, the R-R intervals were analyzed by the root-mean square differences of successive R-R intervals (RMSM) and mean of the standard deviations for all R-R intervals (RMSSD) indices. The RMSM index corresponded to the square root of the sum of the square of the differences of the individual values in relation to the mean value, divided by the number of R-R intervals in a specified time period [ 26 ] . The RMSSD corresponded to the square root of the sum of the square of the differences between the R-R intervals registered, divided by the number of R-R intervals in a specified time period less one [ 26 ] .…”

Section: Methodsmentioning

confidence: 99%

“…The RMSM index corresponded to the square root of the sum of the square of the differences of the individual values in relation to the mean value, divided by the number of R-R intervals in a specified time period [ 26 ] . The RMSSD corresponded to the square root of the sum of the square of the differences between the R-R intervals registered, divided by the number of R-R intervals in a specified time period less one [ 26 ] . To the frequency domain analysis, 256 points of the four minutes (endurance protocol) was selected as the criterion required for application of the spectral methods (i.e., Fast Fourier Transforming).…”

Section: Methodsmentioning

confidence: 99%

High-intensity inspiratory protocol increases heart rate variability in myocardial revascularization patients

Caruso¹,

Simões²,

Reis³

et al. 2016

Brazilian Journal of Cardiovascular Surgery

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Objective:To evaluate heart rate variability during an inspiratory muscle endurance protocol at three different load levels [30%, 60% and 80% of maximal inspiratory pressure], in patients who had previously undergone coronary artery bypass grafting.Methods:Nineteen late postoperative myocardial revascularization patients participating in a cardiovascular rehabilitation program were studied. Maximal inspiratory pressure maneuvers were performed. An inspiratory muscle endurance protocol at 30%, 60% and 80% of maximal inspiratory pressure was applied for four minutes each, in random order. Heart rate and RR intervals were recorded and heart rate variability was analyzed by time (RMSSD-the mean of the standard deviations for all R-R intervals, and RMSM-root-mean square differences of successive R-R intervals) and frequency domains indices (high and low frequency) in normalized units. ANOVA for repeated measurements was used to compare heart rate variability indices and Student t-test was used to compare the maximal inspiratory pressure and maximal expiratory pressure values.Results:Heart rate increased during performance of maximal respiratory pressures maneuvers, and the maximal inspiratory pressure and maximal expiratory pressure mean values were significantly lower than predicted values (P<0.05). RMSSD increased significantly at 80% in relation to rest and 30% of maximal inspiratory pressure and RMSM decreased at 30% and 60% of maximal inspiratory pressure in relation to rest (P<0.05). Additionally, there was significant and progressive decrease in low frequency and increase in high frequency at 30%, 60% and 80% of maximal inspiratory pressure in relation to the resting condition.Conclusion:These results suggest that respiratory muscle training at high intensities can promote greater parasympathetic activity and it may confer important benefits during a rehabilitation program in post-coronary artery bypass grafting.

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“…Entropy indices are seen as a potential marker by which to assess the benefits of exercise [ 7 , 14 , 18 , 19 ]. In one study, the SDNN, RMSSD, ApEn and SampEn values of patients with chronic heart failure were shown to be significantly lower than those of healthy controls during walking [ 20 ]. In another study, the ApEn values of 250 patients with heart failure (≥65 years old) were significantly lower than that of 100 age-matched controls in ECGs recorded over a period of 24 h [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

ECG Approximate Entropy in the Elderly during Cycling Exercise

Liou

Wang

et al. 2022

Sensors

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Approximate entropy (ApEn) is used as a nonlinear measure of heart-rate variability (HRV) in the analysis of ECG time-series recordings. Previous studies have reported that HRV can differentiate between frail and pre-frail people. In this study, EEGs and ECGs were recorded from 38 elderly adults while performing a three-stage cycling routine. Before and after cycling stages, 5-min resting-state EEGs (rs-EEGs) and ECGs were also recorded under the eyes-open condition. Applying the K-mean classifier to pre-exercise rs-ECG ApEn values and body weights revealed nine females with EEG power which was far higher than that of the other subjects in all cycling stages. The breathing of those females was more rapid than that of other subjects and their average heart rate was faster. Those females also presented higher degrees of asymmetry in the alpha and theta bands (stronger power levels in the right frontal electrode), indicating stressful responses during the experiment. It appears that EEG delta activity could be used in conjunction with a very low ECG frequency power as a predictor of bursts in the heart rate to facilitate the monitoring of elderly adults at risk of heart failure. A resting ECG ApEn index in conjunction with the subject’s weight or BMI is recommended for screening high-risk candidates prior to exercise interventions.

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Heart rate autonomic responses during deep breathing and walking in hospitalised patients with chronic heart failure

Abstract: Deep breathing exercises and walking are safe and promote beneficial effects on heart rate variability in patients hospitalised for CHF.

Cited by 13 publications

References 36 publications

Reproducibility for Heart Rate Variability Analysis during 6-Min Walk Test in Patients with Heart Failure and Agreement between Devices

Reproducibility for Heart Rate Variability Analysis during 6-Min Walk Test in Patients with Heart Failure and Agreement between Devices

High-intensity inspiratory protocol increases heart rate variability in myocardial revascularization patients

ECG Approximate Entropy in the Elderly during Cycling Exercise

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