Characterizing nonlinearity in Ventricular Fibrillation

Michael Small, D. J. Yu, R. G. Harrison, C. Robertson, G. Clegg, M. Holzer, F. Sterz

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11 Citations (Scopus)


We apply techniques from nonlinear dynamical systems theory to determine whether Ventricular Fibrillation (VF) comes from a stochastic, or a more complex nonlinear process. Using electrocardiographic (ECG) data from seven pigs during ventricular fibrillation we apply various surrogate data techniques to test the observed data against a series of hypotheses. Standard linear surrogate techniques demonstrate that VF is inconsistent with data generated by a monotonic nonlinear transformation of a linearly filtered noise source. Nonlinear modeling methods show that VF is consistent with the output of a system exhibiting a stable periodic orbit and small scale high dimensional structure (either noise or chaos).

Original languageEnglish
Pages (from-to)17-20
Number of pages4
JournalComputers in Cardiology
Publication statusPublished - 1999
EventThe 26th Annual Meeting: Computers in Cardiology 1999 - Hannover, Ger
Duration: 26 Sep 199929 Sep 1999

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    Small, M., Yu, D. J., Harrison, R. G., Robertson, C., Clegg, G., Holzer, M., & Sterz, F. (1999). Characterizing nonlinearity in Ventricular Fibrillation. Computers in Cardiology, 17-20.