Analysis of surface atrial signals using spectral methods for time series with missing data
Contributo in Atti di convegno
Data di Pubblicazione:
2007
Citazione:
Analysis of surface atrial signals using spectral methods for time series with missing data / R. Sassi, V.D.A. Corino, L.T. Mainardi - In: Computers in Cardiology, 2007[s.l] : IEEE, 2007. - ISBN 9781424425334. - pp. 153-156 (( Intervento presentato al 34. convegno Computers in Cardiology tenutosi a Durham nel 2007 [10.1109/CIC.2007.4745444].
Abstract:
In this work, the analysis of atrial signals recorded during atrial fibrillation was pursued using two spectral estimators designed for series with missing data: the Lomb periodogram (LP) and the Iterative Singular Spectrum Analysis (ISSA). The main aim is to verify if subtraction ofthe ventricular activity might be avoided by performing spectral analysis on those ECG intervals where such activity is absent, (i.e. the T-Q intervals), at least to estimate the dominant atrial Fibrillatory Frequency (FF). Recordings coming from the 2004 Computers in Cardiology Termination Challenge Database were analyzed. Fibrillatory frequencies were then compared with those obtained from the analysis ofthe correspondent atrial signals extracted using a modified Average Beat Substraction (ABS) technique. We observed that the mean absolute difference was 0.42 ± 0.66 Hz for LP, (mean±SD), and 0.39 ± 0.64 Hz for ISSA. We concluded that estimation of FF is feasible without applying QRS-T subtraction.
Tipologia IRIS:
03 - Contributo in volume
Keywords:
spontaneous termination; frequency-analysis; spaced data; fibrillation; electrocardiograms; extraction
Elenco autori:
R. Sassi, V.D.A. Corino, L.T. Mainardi
Link alla scheda completa:
Titolo del libro:
Computers in Cardiology, 2007