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打鼾源识别与鼾声预测。

Snoring source identification and snoring noise prediction.

作者信息

Liu Z S, Luo X Y, Lee H P, Lu C

机构信息

Institute of High Performance Computing, 1 Science Park Road, #01-01 The Capricorn, Singapore Science Park II, Singapore 117528, Singapore.

出版信息

J Biomech. 2007;40(4):861-70. doi: 10.1016/j.jbiomech.2006.03.022. Epub 2006 Jun 5.

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

摘要

本文通过将结构强度概念应用于人体头部的三维(3D)有限元模型来研究人类的打鼾机制,该模型包括:头部上部、颈部、软腭、硬腭、舌头、鼻腔和咽部周围壁。结果表明,对于20Hz、40Hz和60Hz的压力载荷,组织振动主要发生在软腭、舌头和鼻腔区域。为了预测打鼾噪声水平,建立了鼻腔上部气道的三维边界元腔模型。针对规定的气流载荷预测了打鼾噪声水平,其范围与已发表的测量结果一致。这些模型可进一步开发,以研究不同患者群体的各种打鼾机制。

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