The quantitative analysis of nonlinear behaviors of arrhythmia through Lyapunov Exponents

This paper presents the quantitative analysis of nonlinear behaviors arrhythmia through Lyapunov Exponents (LEs). Generally, arrhythmia exhibits relatively random electrocardiogram and hence a nonlinear chaotic series. Such behaviors can be distinguished from normal electrocardiogram in terms of nonlinear dynamics analysis, including phase-space analysis. However, Lyapunov Exponents that quantitatively characterizes chaos that appears in arrhythmia may provide better clear perspective for diagnosis. In this paper, ten series of normal electrocardiograms are compared with other 10 series of arrhythmia. The results reveal that those most series that have arrhythmia have higher values of LEs. The results suggest that the utilization of LEs for arrhythmia analysis may be one of potential alternative in heart decease diagnosis.