Characterizing nonlinearity in Ventricular Fibrillation

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

Research output: Contribution to journalConference article

11 Citations (Scopus)

Abstract

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
JournalComputing in Cardiology
Publication statusPublished - 1 Dec 1999
Externally publishedYes
EventThe 26th Annual Meeting: Computers in Cardiology 1999 - Hannover, Germany
Duration: 26 Sep 199929 Sep 1999

Fingerprint Dive into the research topics of 'Characterizing nonlinearity in Ventricular Fibrillation'. Together they form a unique fingerprint.

Cite this