Memorias de investigación
Artículos en revistas:
Embedded filter bank-based algorithm for ECG compression
Año:2008
Áreas de investigación
  • Procesado y análisis de la señal
Datos
Descripción
In this work, two ECG compression schemes are presented using two types of filter banks to decompose the incoming signal: wavelet packets (WP) and nearly-perfect reconstruction cosine modulated filter banks. The conventional embedded zerotree wavelet (EZW) algorithm takes advantage of the hierarchical relationship among subband coefficients of the pyramidal wavelet decomposition. Nevertheless, it performs worse when used with WP as the hierarchy becomes more complex. In order to address this problem, we propose a new technique that considers no relationship among coefficients, and is therefore suitable for use with WP. Furthermore, this new approximation makes it possible to apply the quantization method to M-channel maximally decimated filter banks. In this fashion, the proposed algorithm provides two efficient and effective ECG compressors that show better ECG compression performance than the conventional EZW algorithm
Internacional
No
JCR del ISI
No
Título de la revista
Signal processing
ISSN
0165-1684
Factor de impacto JCR
0
Información de impacto
Volumen
88
DOI
Número de revista
6
Desde la página
1402
Hasta la página
1412
Mes
JUNIO
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Participante: Kennet E Barner
  • Autor: Juan Ignacio Godino Llorente UPM
  • Autor: Manuel Blanco Velasco UPM
  • Participante: Eduardo Moreno Martinez
  • Autor: Fernando Cruz Roldan UPM
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Informática Aplicada al Procesado de Señal e Imagen
  • Departamento: Ingeniería de Circuitos y Sistemas