Snoring source identification and snoring noise prediction

Liu, Z.S., Luo, X.Y. , Lee, H.P. and Lu, C. (2007) Snoring source identification and snoring noise prediction. Journal of Biomechanics, 40(4), pp. 861-870. (doi: 10.1016/j.jbiomech.2006.03.022) (PMID:16737702)

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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.

Item Type:Articles
Keywords:Finite element method, Boundary element method, Vibration, Snoring noise, Soft palate, Tongue, Nasal cavity, Human head model, Structural intensity
Glasgow Author(s) Enlighten ID:Luo, Professor Xiaoyu
Authors: Liu, Z.S., Luo, X.Y., Lee, H.P., and Lu, C.
Subjects:Q Science > QA Mathematics
R Medicine > RC Internal medicine
College/School:College of Science and Engineering > School of Mathematics and Statistics > Mathematics
Journal Name:Journal of Biomechanics
ISSN (Online):1873-2380
Published Online:31 May 2006

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