Temporal Variation Measure Analysis: An Improved Second-Order Difference Plot. (30th December 2022)

• Record Type: Journal Article
• Authors: Diao, Chen; Cai, Ning
• Other Names: Yan Xiaoan Academic Editor.
• Is Part Of: Complexity. Volume 2022(2022)
• Publication Date: 2022-12-30
• Subjects: Chaotic behavior in systems -- Periodicals; Complexity (Philosophy) -- Periodicals; 003
• DOI: 10.1155/2022/8265275
• Languages: English
• ISSNs: 1076-2787

Abstract

Abstract : In this study, an improved second-order difference plot is proposed to analyze the variability of heart rate variability. Although the variation of the physiological status of the cardiovascular system can be shown graphically by the second-order difference plot, the descriptive ability of existing indicators for this plot is insufficient. As a result, the physiological information contained in the second-order difference plot cannot be extracted adequately. Addressing the problem, the temporal variation measure analysis is presented to describe distribution patterns of scatter points in the second-order difference plot quantitatively and extract the acceleration information for a variation of heart rate variability. Experiment results demonstrate the effectiveness of the temporal variation measure analysis. As a quantitative indicator, the temporal variation entropy is properly designed and successfully applied in the recognition and classification of the physiological statuses of the heart.