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On the evidence of deterministic chaos in ECG: Surrogate and predictability analysis.
MedLine Citation:
PMID:  12779752     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
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 D(2) 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 D(2) 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. (c) 1998 American Institute of Physics.
Authors:
R. B. Govindan; K. Narayanan; M. S. Gopinathan
Publication Detail:
Type:  JOURNAL ARTICLE    
Journal Detail:
Title:  Chaos (Woodbury, N.Y.)     Volume:  8     ISSN:  1089-7682     ISO Abbreviation:  Chaos     Publication Date:  1998 Jun 
Date Detail:
Created Date:  2003-Jun-3     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  100971574     Medline TA:  Chaos     Country:  -    
Other Details:
Languages:  ENG     Pagination:  495-502     Citation Subset:  -    
Affiliation:
Department of Chemistry, Indian Institute of Technology, Madras, Chennai, India-600 036.
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