Artifact cancellation from electrocardiogram by mixed Wavelet-ICA filter

Authors:
Fabio La Foresta;Nadia Mammone;Francesco Carlo Morabito
Affiliations:
DIMET, Mediterranea University of Reggio Calabria, Reggio Calabria, Italy;DIMET, Mediterranea University of Reggio Calabria, Reggio Calabria, Italy;DIMET, Mediterranea University of Reggio Calabria, Reggio Calabria, Italy
Venue:
WIRN'05 Proceedings of the 16th Italian conference on Neural Nets
Year:
2005

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Abstract

In this paper a novel method, called WICA, based on the joint use of wavelet transform (WT) and independent component analysis (ICA) is discussed. The main advantage of this method is that it encompasses the characteristics of WT and ICA. In order to show the novelty of our method, we present a biomedical signal processing application in which ICA has poor performances, whereas WICA yields good results. In particular, we discuss the artifact cancellation in electrocardiographic (ECG) signals. The results show the ability of WICA to cancel some artifact from ECG when only two signals are recorded.