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).
|Number of pages||4|
|Journal||Computing in Cardiology|
|Publication status||Published - 1 Dec 1999|
|Event||The 26th Annual Meeting: Computers in Cardiology 1999 - Hannover, Germany|
Duration: 26 Sep 1999 → 29 Sep 1999