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Speech Signal and Facial Image Processing for Obstructive Sleep Apnea Assessment
المؤلفون المشاركون
Espinoza-Cuadros, Fernando
Fernández-Pozo, Rubén
Toledano, Doroteo T.
Alcázar-Ramírez, José D.
López-Gonzalo, Eduardo
Hernández-Gómez, Luis A.
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-11-17
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1057917
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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