On the evidence of deterministic chaos in ECG: surrogate and predictability analysis

Govindan, R. B. ; Narayanan, K. ; Gopinathan, M. S. (1998) On the evidence of deterministic chaos in ECG: surrogate and predictability analysis Chaos, 8 (2). p. 495. ISSN 1054-1500

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Official URL: http://chaos.aip.org/resource/1/chaoeh/v8/i2/p495_...

Related URL: http://dx.doi.org/10.1063/1.166330


The question whether the human cardiac system is chaotic or not has been an open one. Recent results in chaos theory have shown that the usual methods, such as saturation of correlation dimension D2 or the existence of positive Lyapunov exponent, alone do not provide sufficient evidence to confirm the presence of deterministic chaos in an experimental system. The results of surrogate data analysis together with the short-term prediction analysis can be used to check whether a given time series is consistent with the hypothesis of deterministic chaos. In this work nonlinear dynamical tools such as surrogate data analysis, short-term prediction, saturation of D2 and positive Lyapunov exponent have been applied to measured ECG data for several normal and pathological cases. The pathology presently studied are PVC (Premature Ventricular Contraction), VTA (Ventricular Tachy Arrhythmia), AV (Atrio-Ventricular) block and VF (Ventricular Fibrillation). While these results do not prove that ECG time series is definitely chaotic, they are found to be consistent with the hypothesis of chaotic dynamics.

Item Type:Article
Source:Copyright of this article belongs to American Institute of Physics.
Keywords:Chaos; Time Series; Electrocardiography; Data Analysis; Nonlinear Dynamical Systems; Lyapunov Methods
ID Code:15335
Deposited On:13 Nov 2010 12:55
Last Modified:17 May 2016 00:15

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