Speech Signal and Facial Image Processing for Obstructive Sleep Apnea Assessment
Joint Authors
Espinoza-Cuadros, Fernando
Fernández-Pozo, Rubén
Toledano, Doroteo T.
Alcázar-Ramírez, José D.
López-Gonzalo, Eduardo
Hernández-Gómez, Luis A.
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-17
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Espinoza-Cuadros, Fernando& Fernández-Pozo, Rubén & Toledano, Doroteo T. & Alcázar-Ramírez, José D. & López-Gonzalo, Eduardo& Hernández-Gómez, Luis A.. 2015. Speech Signal and Facial Image Processing for Obstructive Sleep Apnea Assessment. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1057917
Modern Language Association (MLA)
Espinoza-Cuadros, Fernando…[et al.]. Speech Signal and Facial Image Processing for Obstructive Sleep Apnea Assessment. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1057917
American Medical Association (AMA)
Espinoza-Cuadros, Fernando& Fernández-Pozo, Rubén & Toledano, Doroteo T. & Alcázar-Ramírez, José D. & López-Gonzalo, Eduardo& Hernández-Gómez, Luis A.. Speech Signal and Facial Image Processing for Obstructive Sleep Apnea Assessment. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1057917
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057917