A novel descriptor of heart-rate variability using a modified Poincaré plot of 24-hour RR-recordings establishes a highly conserved HRV versus HR master curve that alters in heart-attack patients.
A novel HRV evaluation procedure using a 24-hour modified Poincaré plot establishes an individual 'master curve' that is conserved in health and altered after a heart attack, offering a new tool for clinical and training applications.
ABSTRACT Heart-rate variability (HRV), measured by the fluctuation of beat-to-beat intervals, has been growingly considered the most important hallmark of heart rate (HR) time series. HRV can be characterized by various statistical measures both in the time and frequency domains, or by nonlinear methods. During the past decades, an overwhelming amount of HRV data has been piled up in the research community, but the individual results are difficult to reconcile due to the different measuring conditions and the usually HR-dependent statistical HRV-parameters applied. Moreover, the precise HR-dependence of HRV parameters is not known. Using data gathered by a wearable sensor of combined heart-rate and actigraphy modalities, here, we introduce a novel descriptor of HRV, based on a modified Poincaré plot of 24-h RR-recordings. We show that there exists a – regressive biexponential – HRV versus HR “master” curve (“M-curve”) that is highly conserved for a healthy individual on short and medium terms (on the hours to months scale, respectively). At the same time, we reveal how this curve is related to age in the case of healthy people, and establish alterations of the M-curves of heart-attack patients. A stochastic neuron model accounting for the observed phenomena is also elaborated, in order to facilitate physiological interpretation of HRV data. Our novel evaluation procedure applied on the time series of interbeat intervals allows the description of the HRV(HR) function with unprecedented precision. To utilize the full strength of the method, we suggest a 24-hour-long registration period under natural, daily-routine circumstances (i.e., no special measuring conditions are required). By establishing a patient’s M-curve, it is possible to monitor the development of his/her status over an extended period of time. On these grounds, the new method is suggested to be used as a competent tool in future HRV analyses for both clinical and training applications, as well as for everyday health promotion.
Búzás et al. (Fri,) conducted a other in Heart rate variability. Modified Poincaré plot of 24-h RR-recordings (M-curve) was evaluated on HRV versus HR master curve (M-curve). A novel descriptor of heart-rate variability using a modified Poincaré plot of 24-hour RR-recordings establishes a highly conserved HRV versus HR master curve that alters in heart-attack patients.