Characterizing nonlinearity in Ventricular Fibrillation

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

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
Title of host publicationComputers in Cardiology 1999. Vol.26
PublisherInstitute of Electrical and Electronics Engineers
Pages17-20
Number of pages4
Volume26
ISBN (Print)0-7803-5614-4
DOIs
Publication statusPublished - 1999
EventThe 26th Annual Meeting: Computers in Cardiology 1999 - Hannover, Ger
Duration: 26 Sept 199929 Sept 1999

Publication series

NameComputers in Cardiology
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISSN (Print)0276-6574

Conference

ConferenceThe 26th Annual Meeting: Computers in Cardiology 1999
CityHannover, Ger
Period26/09/9929/09/99

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