Variation in the dominant period during ventricular fibrillation

Citation
M. Small et al., Variation in the dominant period during ventricular fibrillation, IEEE BIOMED, 48(9), 2001, pp. 1056-1061
Citations number
24
Categorie Soggetti
Multidisciplinary,"Instrumentation & Measurement
Journal title
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
ISSN journal
00189294 → ACNP
Volume
48
Issue
9
Year of publication
2001
Pages
1056 - 1061
Database
ISI
SICI code
0018-9294(200109)48:9<1056:VITDPD>2.0.ZU;2-0
Abstract
Time-varying periodicities are commonly observed in biological time series. In this paper, we discuss three different algorithms to detect and quantif y change In periodicity. Each technique uses a sliding window to estimate p eriodic components in short subseries of a longer recording. The three tech niques we utilize are based on: 1) standard Fourier spectral estimation; 2) an information theoretic adaption of linear (autoregressive) modeling; and 3) geometric properties of the embedded time series. We compare the result s obtained from each of these methods using artificial data and experimenta l data from swine ventricular fibrillation (VF). Spectral estimates have pr eviously been applied to VF time series to show a time-dependent trend in t he dominant frequency. We confirm this result by showing that the dominant period of VF, following onset, first decreases to a minimum and then rises to a plateau. Furthermore, our algorithms detect longer period correlations which may indicate the presence of additional periodic oscillations or mor e complex nonlinear structure. We show that in general this possibly nonlin ear structure is most apparent immediately after the onset of VF.