Memorias de investigación
Communications at congresses:
Grouped sparsity algorithm for Multichannel Intracardiac ECG Synchronization
Year:2014

Research Areas
  • Parametric inference,
  • Linear inference, regression,
  • Cardiovascular disorders

Information
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.
International
Si
Congress
European Signal Processing Conference (EUSIPCO)
960
Place
Lisboa (Portugal)
Reviewers
Si
ISBN/ISSN
2219-5491
Start Date
01/09/2014
End Date
05/09/2014
From page
1537
To page
1541
Proceedings of the 22nd European Signal Processing Conference (EUSIPCO)
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Teoría de Aproximación Constructiva y Aplicaciones
  • Departamento: Teoría de la Señal y Comunicaciones (Provisional)