title: Nonlinear dynamics in ventricular fibrillation.
abstract: Electrogram recordings of ventricular fibrillation appear complex and possibly chaotic. However, sequences of beat-to-beat intervals obtained from these recordings are generally short, making it difficult to explicitly demonstrate nonlinear dynamics. Motivated by the work of Sugihara on atmospheric dynamics and the Durbin-Watson test for nonlinearity, we introduce a new statistical test that recovers significant dynamical patterns from smoothed lag plots. This test is used to show highly significant nonlinear dynamics in a stable canine model of ventricular fibrillation.
authors.affiliation: Department of Mathematics, Hofstra University, Hempstead, NY 11550, USA.
authors.forename: H M
authors.initials: HM
authors.lastname: Hastings
authors.forename: S J
authors.initials: SJ
authors.lastname: Evans
authors.forename: W
authors.initials: W
authors.lastname: Quan
authors.forename: M L
authors.initials: ML
authors.lastname: Chong
authors.forename: O
authors.initials: O
authors.lastname: Nwasokwa
mesh_terms: D000465:Algorithms; D000818:Animals; D004285:Dogs; D004558:Electric Stimulation; D004562:Electrocardiography; D006321:Heart / Q000502:physiology / Q000503:physiopathology*; D008955:Models, Cardiovascular; D012044:Regression Analysis; D013997:Time Factors; D014693:Ventricular Fibrillation / Q000503:physiopathology*