Literature DB >> 16737702

Snoring source identification and snoring noise prediction.

Z S Liu1, X Y Luo, H P Lee, C Lu.   

Abstract

This paper investigates the snoring mechanism of humans by applying the concept of structural intensity to a three-dimensional (3D) finite element model of a human head, which includes: the upper part of the head, neck, soft palate, hard palate, tongue, nasal cavity and the surrounding walls of the pharynx. Results show that for 20, 40 and 60Hz pressure loads, tissue vibration is mainly in the areas of the soft palate, the tongue and the nasal cavity. For predicting the snoring noise level, a 3D boundary element cavity model of the upper airway in the nasal cavity is generated. The snoring noise level is predicted for a prescribed airflow loading, and its range agrees with published measurements. These models may be further developed to study the various snoring mechanisms for different groups of patients.

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Year:  2006        PMID: 16737702     DOI: 10.1016/j.jbiomech.2006.03.022

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  9 in total

1.  Modelling the human pharyngeal airway: validation of numerical simulations using in vitro experiments.

Authors:  Franz Chouly; Annemie Van Hirtum; Pierre-Yves Lagrée; Xavier Pelorson; Yohan Payan
Journal:  Med Biol Eng Comput       Date:  2008-11-08       Impact factor: 2.602

2.  Speech function of the oropharyngeal isthmus: A modeling study.

Authors:  Bryan Gick; Peter Anderson; Hui Chen; Chenhao Chiu; Ho Beom Kwon; Ian Stavness; Ling Tsou; Sidney Fels
Journal:  Comput Methods Biomech Biomed Eng Imaging Vis       Date:  2014

3.  A Computational Model Quantifies the Effect of Anatomical Variability on Velopharyngeal Function.

Authors:  Joshua M Inouye; Jamie L Perry; Kant Y Lin; Silvia S Blemker
Journal:  J Speech Lang Hear Res       Date:  2015-08       Impact factor: 2.297

4.  Modeling the pharyngeal anatomical effects on breathing resistance and aerodynamically generated sound.

Authors:  Jinxiang Xi; Xiuhua Si; JongWon Kim; Guoguang Su; Haibo Dong
Journal:  Med Biol Eng Comput       Date:  2014-05-10       Impact factor: 2.602

5.  The Efficacy of Low-Level Continuous Positive Airway Pressure for the Treatment of Snoring.

Authors:  Michelle A Guzman; Francis P Sgambati; Huy Pho; Rafael S Arias; Erin M Hawks; Erica M Wolfe; Tamás Ötvös; Russell Rosenberg; Riad Dakheel; Hartmut Schneider; Jason P Kirkness; Philip L Smith; Alan R Schwartz
Journal:  J Clin Sleep Med       Date:  2017-05-15       Impact factor: 4.062

6.  Snoring: a source of noise pollution and sleep apnea predictor.

Authors:  Mudiaga Sowho; Francis Sgambati; Michelle Guzman; Hartmut Schneider; Alan Schwartz
Journal:  Sleep       Date:  2020-06-15       Impact factor: 5.849

7.  A Subject-Specific Acoustic Model of the Upper Airway for Snoring Sounds Generation.

Authors:  Shumit Saha; T Douglas Bradley; Mahsa Taheri; Zahra Moussavi; Azadeh Yadollahi
Journal:  Sci Rep       Date:  2016-05-23       Impact factor: 4.379

8.  The Finite Element Simulation of the Upper Airway of Patients with Moderate and Severe Obstructive Sleep Apnea Hypopnea Syndrome.

Authors:  Huiping Luo; Austin Scholp; Jack J Jiang
Journal:  Biomed Res Int       Date:  2017-10-24       Impact factor: 3.411

9.  Numerical Analysis of Occupant Head Injuries in Impacts with Dump Truck Panel.

Authors:  Shence Wang; Deshun Liu; Zhihua Cai
Journal:  Appl Bionics Biomech       Date:  2018-06-03       Impact factor: 1.781

  9 in total

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