@inproceedings{51afc4e52e0943f7acbd872b04b94588,
title = "Characterizing nonlinearity in Ventricular Fibrillation",
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).",
author = "Michael Small and Yu, {D. J.} and Harrison, {R. G.} and C. Robertson and G. Clegg and M. Holzer and F. Sterz",
year = "1999",
doi = "10.1109/CIC.1999.825895",
language = "English",
isbn = "0-7803-5614-4",
volume = "26",
series = "Computers in Cardiology",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "17--20",
booktitle = "Computers in Cardiology 1999. Vol.26",
address = "United States",
note = "The 26th Annual Meeting: Computers in Cardiology 1999 ; Conference date: 26-09-1999 Through 29-09-1999",
}