Why the study?
Does a novel definition of asymmetry using 2D Poincaré plot geometry improve the detection of asymmetry in heart rate variability in subjects with normal sinus rhythm?
Does a novel definition of asymmetry using 2D Poincaré plot geometry improve the detection of asymmetry in heart rate variability in subjects with normal sinus rhythm?
A novel geometric definition of asymmetry in Poincaré plots increases the detection of heart rate variability asymmetry in normal sinus rhythm.
May alter HRV asymmetry detection rates in normal subjects; leaves open whether this refines risk stratification or requires prospective validation.
The asymmetry in heart rate variability is a visibly obvious phenomenon in the Poincaré plot of normal sinus rhythm. It shows the unevenness in the distribution of points above and below the line of identity, which indicates instantaneous changes in the beat to beat heart rate. The major limitation of the existing asymmetry definition is that it considers only the instantaneous changes in the beat to beat heart rate rather than the pattern (increase/decrease). In this paper, a novel definition of asymmetry is proposed considering the geometry of a 2D Poincaré plot. Based on the proposed definition, traditional asymmetry indices--Guzik's index (GI), Porta's index (PI) and Ehlers' index (EI)--have been redefined. In order to compare the effectiveness of the new definition, all indices have been calculated for RR interval series of 54 subjects with normal sinus rhythm of 5 min and 30 min duration. The new definition resulted in a higher prevalence of normal subjects showing asymmetry in heart rate variability.
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Karmakar et al. (2009) studied this question.
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