title: Irregularity test for very short electrocardiogram (ECG) signals as a method for predicting a successful defibrillation in patients with ventricular fibrillation.
abstract: A significant proportion of patients with ventricular fibrillation (VF) can only be defibrillated after a period of chest compressions and ventilation before the defibrillation attempt. In these patients, unsuccessful defibrillations increase the duration of heart arrest and reduce the possibility of a successful resuscitation, which could be avoided if a reliable prediction for the success of defibrillation could be made. A new method is presented for estimating the irregularity in very short electrocardiographic (ECG) recordings that enables the prediction of a successful defibrillation in patients with VF. This method is based on a recently developed determinism test for very short time series. A slight modification shows that the method can be used to determine relative differences in irregularity of the studied signals. In particular, ECG recordings of VF from patients who could be successfully defibrillated are characterized by a higher level of irregularity, indicating a chaotic nature of the dynamics of the heart, which is in agreement with previous studies on long ECG recordings showing that cardiac chaos was prevalent in healthy heart, whereas in severe congestive heart failure, a decrease in the chaotic behavior was observed.
authors.affiliation: Department for Quantitative Economic Analysis, Faculty of Economics and Business, University of Maribor, Maribor, Slovenia.
authors.forename: Timotej
authors.initials: T
authors.lastname: Jagric
authors.forename: Marko
authors.initials: M
authors.lastname: Marhl
authors.forename: Dusan
authors.initials: D
authors.lastname: Stajer
authors.forename: Spela Tadel
authors.initials: ST
authors.lastname: Kocjancic
authors.forename: Tomaz
authors.initials: T
authors.lastname: Jagric
authors.forename: Matej
authors.initials: M
authors.lastname: Podbregar
authors.forename: Matjaz
authors.initials: M
authors.lastname: Perc
mesh_terms: D000465:Algorithms; D004554:Electric Countershock; D004562:Electrocardiography / Q000379:methods*; D004632:Emergency Medical Services; D006801:Humans; D017711:Nonlinear Dynamics; D011237:Predictive Value of Tests; D012815:Signal Processing, Computer-Assisted; D013269:Stochastic Processes; D014693:Ventricular Fibrillation / Q000175:diagnosis* / Q000503:physiopathology / Q000628:therapy*