Heart Rate and Respiratory Rate Influence on Heart Rate Variability Repeatability: Effects of the Correction for the Prevailing Heart Rate
نویسندگان
چکیده
BACKGROUND Since heart rate variability (HRV) is associated with average heart rate (HR) and respiratory rate (RespRate), alterations in these parameters may impose changes in HRV. Hence the repeatability of HRV measurements may be affected by differences in HR and RespRate. The study aimed to evaluate HRV repeatability and its association with changes in HR and RespRate. METHODS Forty healthy volunteers underwent two ECG examinations 7 days apart. Standard HRV indices were calculated from 5-min ECG recordings. The ECG-derived respiration signal was estimated to assess RespRate. To investigate HR impact on HRV, HRV parameters were corrected for prevailing HR. RESULTS Differences in HRV parameters between the measurements were associated with the changes in HR and RespRate. However, in multiple regression analysis only HR alteration proved to be independent determinant of the HRV differences-every change in HR by 1 bpm changed HRV values by 16.5% on average. After overall removal of HR impact on HRV, coefficients of variation of the HRV parameters significantly dropped on average by 26.8% (p < 0.001), i.e., by the same extent HRV reproducibility improved. Additionally, the HRV correction for HR decreased association between RespRate and HRV. CONCLUSIONS In stable conditions, HR but not RespRate is the most powerful factor determining HRV reproducibility and even a minimal change of HR may considerably alter HRV. However, the removal of HR impact may significantly improve HRV repeatability. The association between HRV and RespRate seems to be, at least in part, HR dependent.
منابع مشابه
The Effects of Heart Rate Variability on Reading Performance among Iranian EFL Learners
Psychophysiological studies and MRI neuro-imaging findings provide evidence that heart rate variability (HRV) which is in control of our emotions affects our brain cognitive centers. It has been shown that coherent heart-brain interaction can change the pattern of the afferent cardiac input that is sent to the brain. For this purpose, the Institute of HeartMath (IHM) has proposed a kind of biof...
متن کاملEvaluation of the effects of aerobic exercise in the aqueous environment on heart rate variability by using Poincare plot nonlinear method
Background and Aim: Heart rate variability used as a non-invasive method to investigate the effect of aerobics exercise on the cardiac autonomic system. The aim of this study was the nonlinear analysis of the effect of aerobic exercise in the water on the cardiac autonomic system in academic youngchr('39')s males. Materials and Methods: A total of 28 young men were purposefully selected and ra...
متن کاملتغییرپذیری ضربان قلب Heart rate variability))
Abstract Many studies have been conducted on heart rate variability. Variability in the heart signal of two sequential beats is called heart rate variability (HRV). Short- and long- term variability reflects autonomic nervous system function, so that increased or decreased heart rate variability (HRV) is an indicator of human health. So, the analysis of these changes can predict sudden death...
متن کاملتغییرپذیری ضربان قلب Heart rate variability))
Abstract Many studies have been conducted on heart rate variability. Variability in the heart signal of two sequential beats is called heart rate variability (HRV). Short- and long- term variability reflects autonomic nervous system function, so that increased or decreased heart rate variability (HRV) is an indicator of human health. So, the analysis of these changes can predict sudden death...
متن کاملAnalysis of Heart Rate Variability During Meditative and Non-Meditative State Using Analysis of Variance
In this paper the main objective is to quantify and compare the instantaneous value of heart rate for normal breathing patterns during Meditation and Non Meditation conditions. This paper involves Analysis of Variance (ANOVA) technique for the analysis of the heart rate variability patterns during the meditative and non meditative states. The analysis is divided into three stages i.e. data acqu...
متن کامل