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Prediction of upper airway dryness and optimal continuous positive airway pressure conditions
Continuous positive airway pressure is the most effective long-term treatment for obstructive sleep apnoea, which is a sleeping disorder characterized by pauses in breathing during sleep. It introduces pressurized atmospheric air into the respiratory system in order to maintain open airways without...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481124/ https://www.ncbi.nlm.nih.gov/pubmed/32947068 http://dx.doi.org/10.1016/j.jbiomech.2020.110037 |
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author | Grau-Bartual, Sandra Al-Jumaily, Ahmed M. |
author_facet | Grau-Bartual, Sandra Al-Jumaily, Ahmed M. |
author_sort | Grau-Bartual, Sandra |
collection | PubMed |
description | Continuous positive airway pressure is the most effective long-term treatment for obstructive sleep apnoea, which is a sleeping disorder characterized by pauses in breathing during sleep. It introduces pressurized atmospheric air into the respiratory system in order to maintain open airways without blockage. Some continuous positive airway pressure devices incorporate a convective heat transfer humidifier to overcome dryness. However, many side effects, including the unacceptable excess of water droplets in the air supply line, have been reported and improvements are essential for better patient’s comfort and acceptance of the therapy. The excess of water droplets is attributed to the qualitative rather than the quantitative approach of determining the rise in temperature and humidity of the inspired air. Therefore, a human upper airway mathematical model is developed to predict the heat and water transfer variation between normal breathing and continuous positive airway pressure conditions and determine the optimal input temperature and relative humidity in the continuous positive airway pressure humidifier. |
format | Online Article Text |
id | pubmed-7481124 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74811242020-09-10 Prediction of upper airway dryness and optimal continuous positive airway pressure conditions Grau-Bartual, Sandra Al-Jumaily, Ahmed M. J Biomech Article Continuous positive airway pressure is the most effective long-term treatment for obstructive sleep apnoea, which is a sleeping disorder characterized by pauses in breathing during sleep. It introduces pressurized atmospheric air into the respiratory system in order to maintain open airways without blockage. Some continuous positive airway pressure devices incorporate a convective heat transfer humidifier to overcome dryness. However, many side effects, including the unacceptable excess of water droplets in the air supply line, have been reported and improvements are essential for better patient’s comfort and acceptance of the therapy. The excess of water droplets is attributed to the qualitative rather than the quantitative approach of determining the rise in temperature and humidity of the inspired air. Therefore, a human upper airway mathematical model is developed to predict the heat and water transfer variation between normal breathing and continuous positive airway pressure conditions and determine the optimal input temperature and relative humidity in the continuous positive airway pressure humidifier. Elsevier Ltd. 2020-11-09 2020-09-10 /pmc/articles/PMC7481124/ /pubmed/32947068 http://dx.doi.org/10.1016/j.jbiomech.2020.110037 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Grau-Bartual, Sandra Al-Jumaily, Ahmed M. Prediction of upper airway dryness and optimal continuous positive airway pressure conditions |
title | Prediction of upper airway dryness and optimal continuous positive airway pressure conditions |
title_full | Prediction of upper airway dryness and optimal continuous positive airway pressure conditions |
title_fullStr | Prediction of upper airway dryness and optimal continuous positive airway pressure conditions |
title_full_unstemmed | Prediction of upper airway dryness and optimal continuous positive airway pressure conditions |
title_short | Prediction of upper airway dryness and optimal continuous positive airway pressure conditions |
title_sort | prediction of upper airway dryness and optimal continuous positive airway pressure conditions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481124/ https://www.ncbi.nlm.nih.gov/pubmed/32947068 http://dx.doi.org/10.1016/j.jbiomech.2020.110037 |
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