A Novel Approach in Heart-Rate-Variability Analysis Based on Modified Poincaré Plots

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