Servicios Personalizados
Revista
Articulo
Indicadores
- Citado por SciELO
- Accesos
Links relacionados
- Citado por Google
- Similares en SciELO
- Similares en Google
Compartir
DYNA
versión impresa ISSN 0012-7353versión On-line ISSN 2346-2183
Resumen
PULGARIN-GIRALDO, JUAN; ACOSTA-MEDINA, CARLOS y CASTELLANOS-DOMINGUEZ, GERMÁN. MULTISCALE ANALYSIS BY MEANS OF DISCRETE MOLLIFICATION FOR ECG NOISE REDUCTION. Dyna rev.fac.nac.minas [online]. 2009, vol.76, n.159, pp.185-191. ISSN 0012-7353.
Multiscale analysis and computation is a rapidly evolving area of research that have had a fundamental impact on computational science and applied mathematics and have influenced the way we view the relation between mathematics and science. Even though multiscale problems have been longly studied in mathematics, such techniques suffer of the ill-posedness nature of the problem. In the solution of several ill-posed problems, discrete mollification has been used for regularization. In this paper, we propose a new technique (procedure) for multiscale analysis by using discrete mollification. The multiscale scheme is based on numerical linear algebra results combined with the mollification method applied to the Mallat algorithm. The new technique has a simple theory, an efficient implementation and compares fairly well with classical wavelet transform procedures. An application on electrocardiographic signals contaminated with typical non-white noise is considered.
Palabras clave : ECG; GCV; multiscale analysis; mollification; non-white noise; regularization; thresholding.