Heart Rate Variability In Healthy Adults Research Articles

Validation study of the use of the HRVCAM software for the evaluation of heart rate and heart rate variability at rest.

The existing instruments for assessing heart rate (HR) and heart rate variability (HRV) require contact area. This is difficult to obtain from specific groups of patients and from those moving. The aim of this study was to validate the use of the HRVCam software for measuring HR and HRV in healthy adults. The HR and HRV variables were evaluated in terms of time and frequency using a webcam and Polar® S810i. The Shapiro-Wilk test was used to test the normality of the data, and the Pearson's correlation coefficient (r) was used to identify the possible correlation between the two instruments. The size of the effect was calculated based on a generalized linear model, and the Bland-Altman plots were used to analyse the agreement between the methods. The level of significance for all analyses was set at P < 0.05. We evaluated 102 participants, of whom 52% were men; 83.3% were aged between 18 and 29.9 years; and 84.3% were single. There was a good agreement and moderate to strong correlations among all analysed variables. The biases were low, except for the low frequency/high frequency measures. Moreover, the difference between the samples was small to moderate. The results of this study corroborate the use of HRVCam for measuring HR and HRV.

Feasible assessment of recovery and cardiovascular health: accuracy of nocturnal HR and HRV assessed via ring PPG in comparison to medical grade ECG

Objective: To validate the accuracy of the Oura ring in the quantification of resting heart rate (HR) and heart rate variability (HRV). Background: Wearable devices have become comfortable, lightweight, and technologically advanced for assessing health behavior. As an example, the novel Oura ring integrates daily physical activity and nocturnal cardiovascular measurements. Ring users can follow their autonomic nervous system responses to their daily behavior based on nightly changes in HR and HRV, and adjust their behavior accordingly after self-reflection. As wearable photoplethysmogram (PPG) can be disrupted by several confounding influences, it is crucial to demonstrate the accuracy of ring measurements. Approach: Nocturnal HR and HRV were assessed in 49 adults with simultaneous measurements from the Oura ring and the gold standard ECG measurement. Female and male participants with a wide age range (15–72 years) and physical activity status were included. Regression analysis between ECG and the ring outcomes was performed. Main results: Very high agreement between the ring and ECG was observed for nightly average HR and HRV (r2 = 0.996 and 0.980, respectively) with a mean bias of −0.63 bpm and −1.2 ms. High agreement was also observed across 5 min segments within individual nights in (r2 = 0.869 ± 0.098 and 0.765 ± 0.178 in HR and HRV, respectively). Significance: Present findings indicate high validity of the Oura ring in the assessment of nocturnal HR and HRV in healthy adults. The results show the utility of this miniaturised device as a lifestyle management tool in long-term settings. High quality PPG signal results prompt future studies utilizing ring PPG towards clinically relevant health outcomes.

Correlation between health-related quality of life in the physical domain and heart rate variability in asymptomatic adults.

BackgroundReduced health-related quality of life in the physical domain (HRQOLphysical) has been reported to increase risks for cardiovascular disease (CVD); however, the mechanism underlying this phenomenon is still unclear. The autonomic nervous system (ANS) that connects the body and mind is a biologically plausible candidate to investigate this mechanism. The aim of our study is to examine whether the HRQOLphysical independently contributes to heart rate variability (HRV), which reflects ANS activity.MethodsWe recruited 329 physically and mentally healthy adults. All participants completed Beck Anxiety Inventory, Beck Depression Inventory and World Health Organization Questionnaire on Quality of Life: Short Form-Taiwanese version (WHOQOL-BREF). They were divided into groups of individuals having high or low scores of HRQOLphysical as discriminated by the quartile value of WHOQOL-BREF. We obtained the time and frequency-domain indices of HRV, namely variance (total HRV), the low-frequency power (LF; 0.05–0.15 Hz), which may reflect baroreflex function, the high-frequency power (HF; 0.15–0.40 Hz), which reflects cardiac parasympathetic activity, and the LF/HF ratio.ResultsThere was an independent contribution of HRQOLphysical to explaining the variance in HRV after excluding potential confounding factors (gender, age, physical activity, alcohol use, depression and anxiety). Compared with the participants with high levels of HRQOLphysical, those with low levels of HRQOLphysical displayed significant reductions in variance and LF.ConclusionsThis study highlights the independent role of low HRQOLphysical in contributing to the reduced HRV in healthy adults and points to a potential underlying mechanism for HRQOLphysical to confer increased risks for CVD.

Gender plays significant role in short-term heart rate variability.

This study examined the role of gender on short-term heart rate variability (HRV) and the correlation between subjective ratings of stress and HRV in healthy adults. Standardized short-term HRV measurement and self-administered stress response inventory (SRI) were obtained in 441 healthy women and 1440 healthy men. Hierarchical multiple regressions suggested that there was no gender by stress interaction in explaining HRV. However, there were significant gender differences in the associations between stress and HRV (the standard deviation of the NN interval (SDNN), high frequency (HF), low frequency (LF)/HF (F(1, 1878)=7.706, p<.01; F(1, 1878)=29.132, p<.01; F(1, 1878)=49.685, p<.01). In men, only HF (r=-.56, p=.031) showed such an association; whereas in women, the SRI total scores were negatively correlated with SDNN (r=-.103, p=.032), total power (TP) (r=-.104, p=.030), and HF (r=-.129, p=.007), and positively correlated with LF/HF (r=.111, p=.020) when adjusted for age, alcohol drinking, smoking, and caffeine intake. There are gender differences in the association between psychological stress response and HRV. Gender also showed a significant impact on short-term HRV measurement. Given that both clinicians and researchers are increasingly relying on HRV assessment, our work suggest that gender based norms are very important.

A Quantitative Systematic Review of Normal Values for Short-Term Heart Rate Variability in Healthy Adults

Heart rate variability (HRV) is a known risk factor for mortality in both healthy and patient populations. There are currently no normative data for short-term measures of HRV. A thorough review of short-term HRV data published since 1996 was therefore performed. Data from studies published after the 1996 Task Force report (i.e., between January 1997 and September 2008) and reporting short-term measures of HRV obtained in normally healthy individuals were collated and factors underlying discrepant values were identified. Forty-four studies met the pre-set inclusion criteria involving 21,438 participants. Values for short-term HRV measures from the literature were lower than Task Force norms. A degree of homogeneity for common measures of HRV in healthy adults was shown across studies. A number of studies demonstrate large interindividual variations (up to 260,000%), particularly for spectral measures. A number of methodological discrepancies underlined disparate values. These include a systematic failure within the literature (a) to recognize the importance of RR data recognition/editing procedures and (b) to question disparate HRV values observed in normally healthy individuals. A need for large-scale population studies and a review of the Task Force recommendations for short-term HRV that covers the full-age spectrum were identified. Data presented should be used to quantify reference ranges for short-term measures of HRV in healthy adult populations but should be undertaken with reference to methodological factors underlying disparate values. Recommendations for the measurement of HRV require updating to include current technologies.