Grouped sparsity algorithm for multichannel intracardiac ECG synchronization

Trigano, Tom and Kolesnikov, V. and Luengo García, David and Artés Rodríguez, Antonio (2014). Grouped sparsity algorithm for multichannel intracardiac ECG synchronization. In: "22nd European Signal Processing Conference (EUSIPCO)", 1/9/2014 - 5/9/2014, Lisboa (Portugal). ISBN 978-0-9928626-1-9. pp. 1537-1541.

Description

Title: Grouped sparsity algorithm for multichannel intracardiac ECG synchronization
Author/s:
  • Trigano, Tom
  • Kolesnikov, V.
  • Luengo García, David
  • Artés Rodríguez, Antonio
Item Type: Presentation at Congress or Conference (Article)
Event Title: 22nd European Signal Processing Conference (EUSIPCO)
Event Dates: 1/9/2014 - 5/9/2014
Event Location: Lisboa (Portugal)
Title of Book: Proceedings of the 22nd European Signal Processing Conference (EUSIPCO 2014)
Date: 2014
ISBN: 978-0-9928626-1-9
Subjects:
Freetext Keywords: electrocardiography, multi-channel signal processing, sparse inference, group LASSO
Faculty: E.T.S.I. y Sistemas de Telecomunicación (UPM)
Department: Teoría de la Señal y Comunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

In this paper, a new method is presented to ensure automatic synchronization of intracardiac ECG data, yielding a three-stage algorithm. We first compute a robust estimate of the derivative of the data to remove low-frequency perturbations. Then we provide a grouped-sparse representation of the data, by means of the Group LASSO, to ensure that all the electrical spikes are simultaneously detected. Finally, a post-processing step, based on a variance analysis, is performed to discard false alarms. Preliminary results on real data for sinus rhythm and atrial fibrillation show the potential of this approach.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainCOMONSENS (CSD2008-00010)UnspecifiedUnspecifiedUnspecified
Government of SpainALCIT (TEC2012-38800-C03-01)UnspecifiedUnspecifiedUnspecified
Government of SpainCOMPREHENSION (TEC2012-38883-C02-01)UnspecifiedUnspecifiedUnspecified
Government of SpainDISSECT (TEC2012- 38058-C03-01)UnspecifiedUnspecifiedUnspecified

More information

Item ID: 36435
DC Identifier: http://oa.upm.es/36435/
OAI Identifier: oai:oa.upm.es:36435
Official URL: http://www.eusipco2014.org/
Deposited by: Memoria Investigacion
Deposited on: 24 Feb 2016 19:45
Last Modified: 25 Feb 2016 20:06
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