A novel and efficient signal compression algorithm aimed at finding the sparsest representation of electro-cardiogram (ECG) signals is presented and analyzed. The idea behind the method relies on basis elementsdrawn from the initial transitory of a signal itself, and the sparsity promotion process applied to its sub-sequent blocks grabbed by a sliding window. The saved coefficients rescaled in a convenient range, quantized and compressed by a lossless entropy-based algorithm. Experiments on signals extracted from the MIT-BIH Arrhythmia database show that the methodachieves in most of the cases very high performance.

ECG compression retaining the best natural basis k-coefficients via sparse decomposition / A. Adamo, G. Grossi, R. Lanzarotti, J. Lin. - In: BIOMEDICAL SIGNAL PROCESSING AND CONTROL. - ISSN 1746-8094. - 15(2015 Jan), pp. 11-17. [10.1016/j.bspc.2014.09.002]

ECG compression retaining the best natural basis k-coefficients via sparse decomposition

A. Adamo
Primo
;
G. Grossi
;
R. Lanzarotti
Penultimo
;
J. Lin
Ultimo
2015-01

Abstract

A novel and efficient signal compression algorithm aimed at finding the sparsest representation of electro-cardiogram (ECG) signals is presented and analyzed. The idea behind the method relies on basis elementsdrawn from the initial transitory of a signal itself, and the sparsity promotion process applied to its sub-sequent blocks grabbed by a sliding window. The saved coefficients rescaled in a convenient range, quantized and compressed by a lossless entropy-based algorithm. Experiments on signals extracted from the MIT-BIH Arrhythmia database show that the methodachieves in most of the cases very high performance.
ECG compression; Fixed-point iteration scheme; Orthogonal projections; Sparsity recovery
Settore INF/01 - Informatica
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
3-ott-2014
Article (author)
File in questo prodotto:
File Dimensione Formato  
1-s2.0-S1746809414001347-main.pdf

accesso riservato

Tipologia: Publisher's version/PDF
Dimensione 855.85 kB
Formato Adobe PDF
855.85 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/249935
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 26
  • ???jsp.display-item.citation.isi??? 24
social impact