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In this study, an improved second-order difference plot is proposed toanalyze the variability of heart rate variability. Although the variation ofphysiological status of cardiovascular system can be shown graphically by thesecond-order difference plot, the descriptive ability of existing indicatorsfor this plot is insufficient. As a result, the physiological informationcontained in the second-order difference plot cannot be extracted adequately.Addressing the problem, the temporal variation measure analysis is presented todescribe distribution patterns of scatter points in the second-order differenceplot quantitatively and extract the acceleration information for variation ofheart rate variability. Experiment results demonstrate the effectiveness of thetemporal variation measure analysis. As a quantitative indicator, the temporalvariation entropy is properly designed and successfully applied in therecognition and classification of the physiological statuses of the heart.

Temporal Variation Measure Analysis: An Improved Second-Order Difference Plot