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Memorias de investigación
Artículos en revistas:
BEST ESTIMATION OF SPECTRUM PROFILES FOR DIAGNOSING FEMORAL PROSTHESES LOOSENING
Año:2014
Áreas de investigación
  • Ingeniería mecánica, aeronaútica y naval,
  • Procesado y análisis de la señal
Datos
Descripción
For the past few years, some authors have proposed several vibration analysis techniques to detect the prosthetic femoral stem loosening, having found some differences in the frequency response between secure and loose stems. Classical methods like periodogram have been used in most studies for the spectral estimation, and their conclusions have been reached only by visual inspection. A new metric called Nonlinear Logarithmic Weighted Distance (NLWD), based on log-spectral distance is presented. As its name suggests, the spectral power is weighted in order to highlight discriminatory patterns of the spectral profiles. A Generalized Discriminant Ratio (GDR) based on NLWD metric has been also defined. In this study, experiments on a cadaveric dried bone with two kinds of fixation, Loose Stem class (LS) and Secure Stem class (SS), have been analyzed. To select the most discriminating approach to spectral estimation, five well known algorithms (Welch?s, Burg?s Auto-Regressive (AR), Auto-Regressive Moving Average (ARMA), Multiple Signal Classification (MUSIC) and Thomson?s Multi-taper (MTM)) have been compared by using GDR. Finally, the use of the MTM method is proposed for the analysis of bone?stem interface vibratory signals, since it yields the most discriminatory profiles.
Internacional
Si
JCR del ISI
Si
Título de la revista
Medical Engineering & Physics
ISSN
1350-4533
Factor de impacto JCR
1,779
Información de impacto
Datos JCR del año 2012
Volumen
36
DOI
http://dx.doi.org/10.1016/j.medengphy.2013
Número de revista
2
Desde la página
233
Hasta la página
238
Mes
FEBRERO
Ranking
Q1
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Francisco Diaz Perez (UPM)
  • Autor: Evelyn García Nieto (UPM)
  • Autor: Antonio Ros Felip (UPM)
  • Autor: Rafael Carlos Claramunt Alonso (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: Sistemas Informáticos
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