title: Model-based analysis of the ECG during early stages of ventricular fibrillation.
abstract: During the early stages of ventricular fibrillation (VF), identification of the changes in electrocardiographic (ECG) characteristics may be helpful in the determination of defibrillation energy for implantable defibrillators. The hypothesis that the ECG can be quantified by using autoregressive (AR) modeling during VF was tested. Electrocardiograms were recorded for durations of up to 60 seconds of VF in five isolated rabbit hearts. Fourth-order AR parameters of successive 2-second epochs with 50% overlapping of data segments were estimated. At the beginning of VF, mean values of frequency of the first and second poles were 12.5 +/- 1.2 Hz and 24.7 +/- 1.9 Hz, respectively. During VF, frequencies of these poles decreased. At the end of 60 seconds, pole frequencies were 8.7 +/- 1.1 Hz and 21.4 +/- 0.8 Hz. Intersubject variability of the frequencies of the poles was found to be low. Maximum standard deviations for the frequencies of the first and second poles were determined to be 1.9 and 2, respectively. Results of this study show that the VF ECG can be modeled by using the AR modeling technique, and it is possible to quantify the changes in the frequency content of the ECG during VF by using this modeling method.
authors.affiliation: Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland.
authors.forename: A
authors.initials: A
authors.lastname: Baykal
authors.forename: R
authors.initials: R
authors.lastname: Ranjan
authors.forename: N V
authors.initials: NV
authors.lastname: Thakor
mesh_terms: D000200:Action Potentials; D000818:Animals; D003198:Computer Simulation; D004562:Electrocardiography; D011817:Rabbits; D012815:Signal Processing, Computer-Assisted; D014693:Ventricular Fibrillation / Q000175:diagnosis*