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Analysis of institutional authors

Espinoza-Cuadros FCorresponding AuthorFernández-Pozo RAuthorLópez-Gonzalo EAuthorHernández-Gómez LaAuthor

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December 15, 2015
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Article

Speech Signal and Facial Image Processing for Obstructive Sleep Apnea Assessment

Publicated to: Computational and Mathematical Methods in Medicine. 2015 (489761): 489761- - 2015-01-01 2015(489761), DOI: 10.1155/2015/489761

Authors:

Espinoza-Cuadros, F; Fernández-Pozo, R; Toledano, DT; Alcázar-Ramírez, JD; López-Gonzalo, E; Hernández-Gómez, LA
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Affiliations

ATVS Biometric Recognition Group, Universidad Autonoma de Madrid, Madrid, Spain - Author
GAPS Signal Processing Applications Group, Universidad Politécnica de Madrid, Madrid, Spain - Author
Grupo de Aplicaciones del Procesado de Señal (GAPS). Universidad Politécnica de Madrid - Author
Hosp Quiron, Resp Dept, Sleep Unit, Malaga, Spain - Author
Respiratory Department, Sleep Unit, Hospital Quirón, Málaga, Spain - Author
Univ Autonoma Madrid, ATVS Biometr Recognit Grp, Madrid, Spain - Author
Univ Politecn Madrid, GAPS Signal Proc Applicat Grp, E-28040 Madrid, Spain - Author
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Abstract

Obstructive sleep apnea (OSA) is a common sleep disorder characterized by recurring breathing pauses during sleep caused by a blockage of the upper airway (UA). OSA is generally diagnosed through a costly procedure requiring an overnight stay of the patient at the hospital. This has led to proposing less costly procedures based on the analysis of patients' facial images and voice recordings to help in OSA detection and severity assessment. In this paper we investigate the use of both image and speech processing to estimate the apnea-hypopnea index, AHI (which describes the severity of the condition), over a population of 285 male Spanish subjects suspected to suffer from OSA and referred to a Sleep Disorders Unit. Photographs and voice recordings were collected in a supervised but not highly controlled way trying to test a scenario close to an OSA assessment application running on a mobile device (i.e., smartphones or tablets). Spectral information in speech utterances is modeled by a state-of-the-art low-dimensional acoustic representation, called i-vector. A set of local craniofacial features related to OSA are extracted from images after detecting facial landmarks using Active Appearance Models (AAMs). Support vector regression (SVR) is applied on facial features and i-vectors to estimate the AHI.
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Keywords

AdultAgedAged, 80 and overApnea hypopnea indexArticleBody massComputational biologyFaceFaciesHumanHumansImage interpretation, computer-assistedImage processingMajor clinical studyMaleMiddle agedNuclear magnetic resonance imagingPhonationPhotographyPolysomnographySleep apnea, obstructiveSleep disordered breathingSoundSpeechSpeech acousticsSpeech articulation testsSupport vector machineVisual stimulationYoung adult

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Computational and Mathematical Methods in Medicine 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, 2015, it was in position , thus managing to position itself as a Q2 (Segundo Cuartil), in the category Modeling and Simulation. Notably, the journal is positioned en el Cuartil Q3 for the agency WoS (JCR) in the category Mathematical & Computational Biology.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations provided by WoS (ESI, Clarivate), it yields a value for the citation normalization relative to the expected citation rate of: 1.22. This indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 13, 2025)

This information is reinforced by other indicators of the same type, which, although dynamic over time and dependent on the set of average global citations at the time of their calculation, consistently position the work at some point among the top 50% most cited in its field:

  • Weighted Average of Normalized Impact by the Scopus agency: 1.12 (source consulted: FECYT Mar 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2026-04-05, the following number of citations:

  • WoS: 38
  • Scopus: 48
  • Europe PMC: 6
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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 2026-04-05:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 95.
  • 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: 95 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 5.
  • The number of mentions on the social network Facebook: 1 (Altmetric).
  • The number of mentions on the social network X (formerly Twitter): 1 (Altmetric).

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.
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (ESPINOZA CUADROS, FDO.MANUEL) and Last Author (HERNANDEZ GOMEZ, LUIS ALFONSO).

the author responsible for correspondence tasks has been ESPINOZA CUADROS, FDO.MANUEL.

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