NDLI: Multidimensional characterization of fibrillatory wave amplitude on surface ECG to describe catheter ablation impact on persistent atrial fibrillation

Content Provider	IEEE Xplore Digital Library
Author	Meo, M. Zarzoso, V. Meste, O. Latcu, D.G. Saoudi, N.
Copyright Year	2012
Description	Author affiliation: Lab. d'Inf., Signaux et Syst. de Sophia Antipolis (I3S), Univ. Nice Sophia Antipolis, Nice, France (Meo, M.; Zarzoso, V.; Meste, O.) \|\| Service de Cardiologie, Centre Hosp. Princesse Grace, La Colle, Monaco (Latcu, D.G.; Saoudi, N.)
Abstract	Radiofrequency catheter ablation (CA) is increasingly employed to treat persistent atrial fibrillation (AF). Nevertheless, its success is not always guaranteed, as selection of patients who could positively respond to this therapy does not rely on systematic criteria and still remains an open issue. Moreover, very little is known about the quantitative effects of this treatment over AF electrophysiology, so their quantitative evaluation is not a trivial task. In this contribution, ablation impact is quantified by a descriptor of fibrillatory wave (f-wave) amplitude, so far regarded as a predictor of short-term CA outcome. By means of principal component analysis (PCA), surface electrocardiogram (ECG) spatial diversity is exploited and contributions from all leads are combined to describe average f-wave peak-to-peak amplitude, whose value is automatically computed by an algorithm based on cubic spline interpolation. Our work demonstrates how CA influences f-wave amplitude during the procedure as quantified by ECG inter-lead spatial variability. In addition, we show how such variations depend on procedural outcome and the duration of the postoperative blanking period.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	617
Ending Page	620
File Size	340368
Page Count	4
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6346007
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrocardiography Surface waves Catheters Blanking Standards Principal component analysis Substrates
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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