Memorias de investigación
Ponencias en congresos:
A Clustering Approach to Construct Multi-scale Overcomplete Dictionaries for ECG Modeling
Año:2019
Áreas de investigación
  • Aplicaciones a ingenierías y ciencias de la información
Datos
Descripción
The electrocardiogram (ECG) is the main biomedical signal used to diagnose and monitor cardiac pathologies. A typical ECG is composed of quasi-periodic activations (the QRS complexes, and the P and T waves) and periods of inactivity, plus noise and interferences. The sparse nature of the ECG has lead to the development of many compressed sensing (CS) and sparsity-aware ECG signal processing algorithms. In order to attain a good performance, these methods require appropriate dictionaries, and several on-line dictionary construction approaches have been devised. However, all of them require a substantial computational cost and the derived dictionaries are composed of atoms which may not be representative of real-world signals. In this work, we describe an efficient method for off-line construction of an overcomplete and multi-scale dictionary using a clustering-based approach. The resulting dictionary, whose atoms are the most representative waveforms from the training set, is then used to obtain a sparse representation of the ECG signal. Simulations on real-world records from Physionet's PTB database show the good performance of the proposed approach.
Internacional
Si
Nombre congreso
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Tipo de participación
960
Lugar del congreso
Brighton (Reino Unido)
Revisores
Si
ISBN o ISSN
978-1-5386-4658-8
DOI
10.1109/ICASSP.2019.8682758
Fecha inicio congreso
12/05/2019
Fecha fin congreso
17/05/2019
Desde la página
1085
Hasta la página
1089
Título de las actas
Proceedings of the 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Teoría de Aproximación Constructiva y Aplicaciones
  • Departamento: Ingeniería Audiovisual y Comunicaciones