Deterministic nonlinearity in ventricular fibrillation

Michael Small, Dejin Yu, Robert G. Harrison, Colin Robertson, Gareth Clegg, Michael Holzer, Fritz Sterz

Research output: Contribution to journalArticle

47 Citations (Scopus)

Abstract

We provide numerical evidence that the electrocardiogram data collected from pigs during induced ventricular fibrillation cannot be described by a monotonic nonlinear transformation of linearly filtered noise. To establish this we use surrogate techniques and apply two test statistics: (1) the Takens' maximum likelihood estimator of the Grassberger-Procaccia correlation dimension and (2) an improved correlation dimension estimation routine. The improved dimension estimates provide evidence that the correlation dimension of the underlying dynamics during the episode of VF in the first 30 s is slightly less than 6. This result is consistent and reproducible among subjects. © 2000 American Institute of Physics.

Original languageEnglish
Pages (from-to)268-277
Number of pages10
JournalChaos
Volume10
Issue number1
Publication statusPublished - Mar 2000

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    Small, M., Yu, D., Harrison, R. G., Robertson, C., Clegg, G., Holzer, M., & Sterz, F. (2000). Deterministic nonlinearity in ventricular fibrillation. Chaos, 10(1), 268-277.