The exploitation of spatial topographies for atrial signal extraction in atrial fibrillation ECGs

Author

Bonizzi, Pietro ; Phlypo, Ronald ; Zarzoso, Vicente ; Meste, Olivier

Author_Institution

Laboratoire I3S, UNSA/CNRS, 2000 Route des Lucioles, Les Algorithmes Euclide B, B.P. 121, 06903 Sophia Antipolis Cedex, France

fYear

2008

fDate

20-25 Aug. 2008

Firstpage

1867

Lastpage

1870

Abstract

The accuracy in the extraction of the atrial activity (AA) from electrocardiogram (ECG) signals recorded during atrial fibrillation (AF) episodes plays an important role in the analysis and characterization of atrial arrhythmias. The present contribution puts forward a method for AA signal extraction based on a blind source separation (BSS) formulation. The latter exploits spatial information on the different components in the ECG related or not to AF. The source directions or spatial topographies of the components not related to AF are used to determine the nullspace of the AA, so that the topographies related to AA become more suitable to describe AF sources. The comparative performance of the method is evaluated on real data recorded from patients with noticeable AF. The AA extraction quality of the proposed technique is comparable to that of previous algorithms.

Keywords

Atrial fibrillation; Blind source separation; Data mining; Electrocardiography; Filters; Frequency; Independent component analysis; Signal analysis; Source separation; Surfaces; Algorithms; Atrial Fibrillation; Biomedical Engineering; Databases, Factual; Diagnosis, Computer-Assisted; Electrocardiography; Humans; Signal Processing, Computer-Assisted;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE

Conference_Location

Vancouver, BC

ISSN

1557-170X

Print_ISBN

978-1-4244-1814-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2008.4649549

Filename

4649549