Conference Proceeding

A biophysical model of ECG signals during atrial fibrillation used to evaluate the performance of QRST cancellation algorithms

Signal Process. Inst., Ecole Polytech. Fed. de Lausanne
02/2005; DOI:10.1109/CIC.2005.1588107 ISBN: 0-7803-9337-6 pp.343 - 346 In proceeding of: Computers in Cardiology, 2005
Source: IEEE Xplore

ABSTRACT Characterization of electrical signals during atrial fibrillation (AF) is facilitated when the ventricular electrical activity (QRST complexes) has been suppressed. However, evaluating the performance of the QRST cancellation requires knowing the atrial activity during the QRST complex. A biophysically based model of the ECG during AF was developed, in which the exact separate contributions of the atria and the ventricles is available. Abnormal electrical propagation was simulated in a 3-D model of the human atria. The atrial electrical activity on the thorax was obtained by applying the boundary element method to a compartmental torso model. The ventricular activity was incorporated as a sequence of QRST complexes extracted from the clinical ECG of a patient in sinus rhythm. The ECG obtained as the sum of the atrial and ventricular activity described above may be used as a benchmark for testing and evaluating QRST cancellation and feature extraction techniques

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Keywords

3-D model
 
Abnormal electrical propagation
 
atria
 
atrial
 
atrial activity
 
atrial electrical activity
 
atrial fibrillation
 
boundary element method
 
Characterization
 
clinical ECG
 
electrical signals
 
exact separate contributions
 
feature extraction techniques
 
human atria
 
QRST cancellation
 
QRST complex
 
QRST complexes
 
sinus rhythm
 
ventricular activity
 
ventricular electrical activity
 

V. Jacquemet