The accurate extraction of the atrial fibrillation (AF) signal from the ECG is a challenging task. The performance of its frequency analysis is based on this accuracy. When the atrioventricular node modelling is addressed, the precision of the AF amplitude estimation plays an important role. In this work, we propose an AF estimator based on a bayesian approach. The a priori knowledge necessary to achieve good estimation performances is shown to be weak. The presented method is compared to classical ones such as the Average Beat Substraction (ABS) but also to modern one that is the Blind Source Separation (BSS) technic. The performances of the methods are illustrated on a small set of examples. The conclusion is that the proposed method gives an accurate global estimation of the AF signal but also locally since our results do not exhibit spurious oscillations at the time location of the R wave.
QRST cancellation using bayesian estimation for the auricular fibrillation analysis
IEMBS 2005, 27th Annual IEEE Conference on Engineering in Medicine and Biology Society, September 1-4, 2005, Shanghai, China
Type:
Conference
City:
Shanghai
Date:
2005-09-01
Department:
Communication systems
Eurecom Ref:
2683
Copyright:
© 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
PERMALINK : https://www.eurecom.fr/publication/2683
