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A Subject-Specific Acoustic Model of the Upper Airway for Snoring Sounds Generation
Monitoring variations in the upper airway narrowing during sleep is invasive and expensive. Since snoring sounds are generated by air turbulence and vibrations of the upper airway due to its narrowing; snoring sounds may be used as a non-invasive technique to assess upper airway narrowing. Our goal...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4876448/ https://www.ncbi.nlm.nih.gov/pubmed/27210576 http://dx.doi.org/10.1038/srep25730 |
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author | Saha, Shumit Bradley, T. Douglas Taheri, Mahsa Moussavi, Zahra Yadollahi, Azadeh |
author_facet | Saha, Shumit Bradley, T. Douglas Taheri, Mahsa Moussavi, Zahra Yadollahi, Azadeh |
author_sort | Saha, Shumit |
collection | PubMed |
description | Monitoring variations in the upper airway narrowing during sleep is invasive and expensive. Since snoring sounds are generated by air turbulence and vibrations of the upper airway due to its narrowing; snoring sounds may be used as a non-invasive technique to assess upper airway narrowing. Our goal was to develop a subject-specific acoustic model of the upper airway to investigate the impacts of upper airway anatomy, e.g. length, wall thickness and cross-sectional area, on snoring sounds features. To have a subject-specific model for snoring generation, we used measurements of the upper airway length, cross-sectional area and wall thickness from every individual to develop the model. To validate the proposed model, in 20 male individuals, intensity and resonant frequencies of modeled snoring sounds were compared with those measured from recorded snoring sounds during sleep. Based on both modeled and measured results, we found the only factor that may positively and significantly contribute to snoring intensity was narrowing in the upper airway. Furthermore, measured resonant frequencies of snoring were inversely correlated with the upper airway length, which is a risk factor for upper airway collapsibility. These results encourage the use of snoring sounds analysis to assess the upper airway anatomy during sleep. |
format | Online Article Text |
id | pubmed-4876448 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-48764482016-06-06 A Subject-Specific Acoustic Model of the Upper Airway for Snoring Sounds Generation Saha, Shumit Bradley, T. Douglas Taheri, Mahsa Moussavi, Zahra Yadollahi, Azadeh Sci Rep Article Monitoring variations in the upper airway narrowing during sleep is invasive and expensive. Since snoring sounds are generated by air turbulence and vibrations of the upper airway due to its narrowing; snoring sounds may be used as a non-invasive technique to assess upper airway narrowing. Our goal was to develop a subject-specific acoustic model of the upper airway to investigate the impacts of upper airway anatomy, e.g. length, wall thickness and cross-sectional area, on snoring sounds features. To have a subject-specific model for snoring generation, we used measurements of the upper airway length, cross-sectional area and wall thickness from every individual to develop the model. To validate the proposed model, in 20 male individuals, intensity and resonant frequencies of modeled snoring sounds were compared with those measured from recorded snoring sounds during sleep. Based on both modeled and measured results, we found the only factor that may positively and significantly contribute to snoring intensity was narrowing in the upper airway. Furthermore, measured resonant frequencies of snoring were inversely correlated with the upper airway length, which is a risk factor for upper airway collapsibility. These results encourage the use of snoring sounds analysis to assess the upper airway anatomy during sleep. Nature Publishing Group 2016-05-23 /pmc/articles/PMC4876448/ /pubmed/27210576 http://dx.doi.org/10.1038/srep25730 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Saha, Shumit Bradley, T. Douglas Taheri, Mahsa Moussavi, Zahra Yadollahi, Azadeh A Subject-Specific Acoustic Model of the Upper Airway for Snoring Sounds Generation |
title | A Subject-Specific Acoustic Model of the Upper Airway for Snoring Sounds Generation |
title_full | A Subject-Specific Acoustic Model of the Upper Airway for Snoring Sounds Generation |
title_fullStr | A Subject-Specific Acoustic Model of the Upper Airway for Snoring Sounds Generation |
title_full_unstemmed | A Subject-Specific Acoustic Model of the Upper Airway for Snoring Sounds Generation |
title_short | A Subject-Specific Acoustic Model of the Upper Airway for Snoring Sounds Generation |
title_sort | subject-specific acoustic model of the upper airway for snoring sounds generation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4876448/ https://www.ncbi.nlm.nih.gov/pubmed/27210576 http://dx.doi.org/10.1038/srep25730 |
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