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Memorias de investigación
Artículos en revistas:
Time-Frequency based Feature Selection for Discrimination of non stationary Biosignals, EURASIP Journal on Advances in Signal Processing
Año:2012
Áreas de investigación
  • Ingenierías,
  • Tecnología electrónica y de las comunicaciones
Datos
Descripción
This research proposes a generic methodology for dimensionality reduction upon time?frequency representations applied to the classification of different types of biosignals. The methodology directly deals with the highly redundant and irrelevant data contained in these representations, combining a first stage of irrelevant data removal by variable selection, with a second stage of redundancy reduction using methods based on linear transformations. The study addresses two techniques that provided a similar performance: the first one is based on the selection of a set of the most relevant time?frequency points, whereas the second one selects the most relevant frequency bands. The first methodology needs a lower quantity of components, leading to a lower feature space; but the second improves the capture of the time-varying dynamics of the signal, and therefore provides a more stable performance. In order to evaluate the generalization capabilities of the methodology proposed it has been applied to two types of biosignals with different kinds of non-stationary behaviors: electroencephalographic and phonocardiographic biosignals. Even when these two databases contain samples with different degrees of complexity and a wide variety of characterizing patterns, the results demonstrate a good accuracy for the detection of pathologies, over 98%.The results open the possibility to extrapolate the methodology to the study of other biosignals.
Internacional
Si
JCR del ISI
No
Título de la revista
EURASIP Journal on Advances in Signal Processing
ISSN
1687-6180
Factor de impacto JCR
0,81
Información de impacto
Volumen
DOI
10.1186/1687-6180-2012-219
Número de revista
Desde la página
1
Hasta la página
18
Mes
OCTUBRE
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Juan D Martinez Vargas (Universidad Nacional de Colombia)
  • Autor: Juan Ignacio Godino Llorente (UPM)
  • Autor: German Castellanos Dominguez (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
  • Centro o Instituto I+D+i: Tecnologías del Software y Sistemas Multimedia para la Sostenibilidad (CITSEM)
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