Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.jbiomech.2006.03.022
Title: Snoring source identification and snoring noise prediction
Authors: Liu, Z.S.
Luo, X.Y.
Lee, H.P. 
Lu, C.
Keywords: Boundary element method
Finite element method
Human head model
Nasal cavity
Snoring noise
Soft palate
Structural intensity
Tongue
Vibration
Issue Date: 2007
Source: Liu, Z.S., Luo, X.Y., Lee, H.P., Lu, C. (2007). Snoring source identification and snoring noise prediction. Journal of Biomechanics 40 (4) : 861-870. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jbiomech.2006.03.022
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 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. © 2006 Elsevier Ltd. All rights reserved.
Source Title: Journal of Biomechanics
URI: http://scholarbank.nus.edu.sg/handle/10635/61331
ISSN: 00219290
DOI: 10.1016/j.jbiomech.2006.03.022
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