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Analysis of institutional authors

Godino-Llorente, Juan I.Author

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June 9, 2019
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Time-frequency based feature selection for discrimination of non-stationary biosignals

Publicated to: Eurasip Journal on Advances in Signal Processing. 2012 (219): 219- - 2012-12-01 2012(219), DOI: 10.1186/1687-6180-2012-219

Authors:

Martínez-Vargas, JD; Godino-Llorente, JI; Castellanos-Dominguez, G
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Affiliations

Informática Aplicada al Procesado de Señal e Imagen. Universidad Politécnica de Madrid - Author
Univ Nacl Colombia, Signal Proc & Recognit Grp, Caldas, Manizales, Colombia - Author
Univ Politecn Madrid, Dept Ingn Circuitos & Sistemas, Madrid 28031, Spain - Author
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Abstract

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.
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Keywords

2-dimensional pcaFace representationFeature-extractionHeart murmur detectionMatching pursuitRecognitionTransform

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Eurasip Journal on Advances in Signal Processing due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2012, it was in position , thus managing to position itself as a Q2 (Segundo Cuartil), in the category Signal Processing. Notably, the journal is positioned en el Cuartil Q3 for the agency WoS (JCR) in the category Engineering, Electrical & Electronic.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-24:

  • WoS: 13
  • Scopus: 15
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-24:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 37 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/16435/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 493
  • Downloads: 321
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Colombia.

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Awards linked to the item

This research was supported by Centro de Investigacion e Innovacion de Excelencia - ARTICA, Programa Nacional de Formacion de Investigadores GENERACION DEL BICENTENARIO, 2011, funded by COLCIENCIAS, Servicio de monitoreo remoto de actividad cardiaca para el tamizaje clinico en la red de telemedicina del departamento de Caldas funded by Universidad Nacional de Colombia and Universidad de Caldas and through the project grant TEC2009-14123-C04-02 financed by the Spanish government.
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