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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 | Citation: | 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 |
Appears in Collections: | Staff Publications |
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