NDLI: Atrial signal extraction in atrial fibrillation electrocardiograms using a tensor decomposition approach

Content Provider	IEEE Xplore Digital Library
Author	Ribeiro, L.N. Hidalgo-Munoz, A.R. Zarzoso, V.
Copyright Year	2015
Description	Author affiliation: Fed. Univ. of Ceara, Fortaleza, Brazil (Ribeiro, L.N.) \|\| I3S Lab., Univ. of Nice Sophia Antipolis, Nice, France (Hidalgo-Munoz, A.R.; Zarzoso, V.)
Abstract	Atrial fibrillation (AF) is the most common cardiac arrhythmia encountered in clinical practice and remains a major challenge in cardiology. The noninvasive analysis of AF usually requires the estimation of the atrial activity (AA) signal in surface electrocardiogram (ECG) recordings. The present contribution puts forward a tensor decomposition approach for noninvasive AA extraction in AF ECG recordings. As opposed to the matrix approach, tensor decompositions are generally unique under mild conditions and have the potential to perform source separation in scenarios with a limited number of electrodes. An experimental study on a synthethic signal model and a real AF ECG recording evaluates the performance of the so-called block term tensor decomposition approach as compared to matrix techniques such as principal component analysis and independent component analysis.
Starting Page	6987
Ending Page	6990
File Size	731202
Page Count	4
File Format	PDF
ISSN	1557170X
e-ISBN	9781424492718
DOI	10.1109/EMBC.2015.7320000
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tensile stress Electrocardiography Yttrium Matrix decomposition Brain modeling Signal to noise ratio Principal component analysis tensor decompositions Atrial fibrillation blind source separation electrocardiogram independent component analysis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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