Correlation between heart rate variability indexes and aerobic physiological variables in patients with COPD

Respirology ◽  
2014 ◽  
Vol 20 (2) ◽  
pp. 273-278 ◽  
Author(s):  
Marceli R. Leite ◽  
Ercy Mara C. Ramos ◽  
Carlos A. Kalva-Filho ◽  
Fernanda Maria M. Rodrigues ◽  
Ana Paula C.F. Freire ◽  
...  
2014 ◽  
Vol 04 (01) ◽  
pp. 035-041
Author(s):  
Fatima D'silva ◽  
Vinay H. ◽  
N.V. Muninarayanappa

Abstract:Psychosocial risk factors significantly contribute to the morbidity and mortality of patients with cardiovascular disorders. The present study explored the anxiety and depression status of patients with coronary artery disease and evaluated the effect of deep breathing exercise on these psychosocial variables as well as physiological variables like heart rate variability and blood pressure. A randomized control design was adopted for the study. Out of 65 clients eligible for the study, 45 were selected based on inclusion criteria. Patient were trained in Deep breathing exercise (DBE)for 2-3 days, were instructed to practice the exercise twice a day for 10 min for a period of 2 weeks, further instructed to come for follow up to cardiac OPD after 2 weeks. The study findings revealed that majority of the cardiac patients were anxious 39 (86.66%), 23(57.5%) had mild depression and 3(7.5%) were with severe depression. Fischer's exact test revealed a significant association between depression and occupation (p=0.051), monthly income (p=0.031) and co morbid disease (p=0.006, p<0.05). Karl Pearson's correlation coefficient revealed significant positive correlation between anxiety and depression i.e. (r = 0.414, p <0.01). DBE was found to be effective in reducing anxiety and diastolic BP of clients with CAD. But there was no significant reduction in HR, SBP and depression after the intervention.


Author(s):  
Joel S. Burma ◽  
Sarah Graver ◽  
Lauren N. Miutz ◽  
Alannah Macaulay ◽  
Paige V. Copeland ◽  
...  

Background: Ultra-short-term (UST) heart rate variability (HRV) metrics have increasingly been proposed as surrogates for short-term HRV metrics. However, the concurrent validity, within-day reliability, and between-day reliability of UST HRV have yet to be comprehensively documented. Methods: Thirty-six adults (18 males, age: 26 ± 5 years, BMI: 24 ± 3 kg/m2) were recruited. Measures of HRV were quantified in a quiet-stance upright orthostatic position via three-lead electrocardiogram (ADInstruments, FE232 BioAmp). All short-term data recordings were 300-seconds in length and five UST time points (i.e., 30-seconds, 60-seconds, 120-seconds, 180-seconds, and 240-seconds) were extracted from the original 300-second recording. Bland-Altman plots with 95% limits of agreement, repeated measures ANOVA, and two-tailed paired t-tests demarcated differences between UST and short-term recordings. Linear regressions, coefficient of variation, intraclass correlation coefficients, and other tests examined the validity and reliability in both time- and frequency-domains. Results: No group differences were noted between all short-term and UST measures, for either time- (all p>0.202) or frequency-domain metrics (all p>0.086). A longer recording duration was associated with augmented validity and reliability, that was less impacted by confounding influences from physiological variables (e.g., respiration rate, carbon dioxide end-tidals, and blood pressure). Conclusively, heart rate, time-domain, and relative frequency-domain HRV metrics were acceptable with recordings greater or equal to 60s, 240s, and 300s, respectively. Conclusions: Future studies employing UST HRV metrics, should thoroughly understand the methodological requirements to obtain accurate results. Moreover, a conservative approach should be utilized regarding the minimum acceptable recording duration, which ensures valid/reliable HRV estimates are obtained.


2020 ◽  
Vol 10 (23) ◽  
pp. 8532
Author(s):  
Juan Pablo Medellín Ruiz ◽  
Jacobo Ángel Rubio-Arias ◽  
Vicente Javier Clemente-Suarez ◽  
Domingo Jesús Ramos-Campo

A systematic review and meta-analysis were performed to determine if heart rate variability-guided training (HRV-g), compared to predefined training (PT), maximizes the further improvement of endurance physiological and performance markers in healthy individuals. This analysis included randomized controlled trials assessing the effects of HRV-g vs. PT on endurance physiological and performance markers in untrained, physically active, and well-trained subjects. Eight articles qualified for inclusion. HRV-g training significantly improved maximum oxygen uptake (VO2max) (MD = 2.84, CI: 1.41, 4.27; p < 0.0001), maximum aerobic power or speed (WMax) (SMD = 0.66, 95% CI 0.33, 0.98; p < 0.0001), aerobic performance (SMD = 0.71, CI 0.16, 1.25; p = 0.01) and power or speed at ventilatory thresholds (VT) VT1 (SMD = 0.62, CI 0.04, 1.20; p = 0.04) and VT2 (SMD = 0.81, CI 0.41, 1.22; p < 0.0001). However, HRV-g did not show significant differences in VO2max (MD = 0.96, CI −1.11, 3.03; p = 0.36), WMax (SMD = 0.06, CI −0.26, 0.38; p = 0.72), or aerobic performance (SMD = 0.14, CI −0.22, 0.51; p = 0.45) in power or speed at VT1 (SMD = 0.27, 95% CI −0.16, 0.70; p = 0.22) or VT2 (SMD = 0.18, 95% CI −0.20, 0.57; p = 0.35), when compared to PT. Although HRV-based training periodization improved both physiological variables and aerobic performance, this method did not provide significant benefit over PT.


1977 ◽  
Vol 21 (5) ◽  
pp. 443-447
Author(s):  
Michael L. Romansky ◽  
Ralph W. Plummer ◽  
Edward S. Neumann

This Investigation evaluated the relative effects of a moderate or suboptimal level of environmental heat and noise stress on human stress and fatigue by utilizing performance and nonperformance parameters. Twenty-five male undergraduate and graduate students served as subjects for this investigation. Each subject was isolated in a specially constructed environmental chamber located in a laboratory. Heat and noise were designated as the two independent variables used in the study. The effects of both variables on three dependent measures were evaluated during a nonstress condition and a stress condition. Two physiological variables, heart rate and heart rate variability, were used to assess arousal effects of heat and noise stress. In addition, performance data was collected in the form of reaction time to a visual display. Analyses of physiological and performance data revealed the influential effects of the two environmental conditions tested. Heart rate and heart rate variability responses were found to be significantly higher in the moderate stress condition than in the nonstress condition. Furthermore, a statistically significant deterioration in performance was observed in the reaction time task. An increase in reaction time occurred when subjects were exposed to the moderate stress condition.


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