Snoring source identification and snoring noise prediction

被引:49
|
作者
Liu, Z. S.
Luo, X. Y.
Lee, H. P.
Lu, C.
机构
[1] Inst High Performance Comp, Singapore 117528, Singapore
[2] Univ Glasgow, Dept Math, Glasgow G12 8QW, Lanark, Scotland
[3] Natl Univ Singapore, Dept Mech Engn, Singapore 119260, Singapore
关键词
finite element method; boundary element method; vibration; snoring noise; soft palate; tongue; nasal cavity; human head model; structural intensity;
D O I
10.1016/j.jbiomech.2006.03.022
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
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 60 Hz 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. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:861 / 870
页数:10
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