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Issue title: Selected Papers from ICCMEH2014
Guest editors: Raghuvir Pai
Article type: Research Article
Authors: Zuber, Mohammada; c; * | Riazuddin, Vizy N.a | Ahmad, Kamarul A.a | Khader, Shah M. A.b | Basri, Adi A.a
Affiliations: [a] Department of Aerospace Engineering, Universiti Putra Malaysia, Serdang 43400, Malaysia | [b] Department of Mechanical & Manufacturing Engineering, Manipal Institute of Technology, Manipal University, Manipal 576104, India | [c] Department of Aeronautical & Automobile Engineering, Manipal Institute of Technology, Manipal University, Manipal 576104, India
Correspondence: [*] Corresponding author: Mohammad Zuber, Department of Aeronautical and Automobile Engineering, Manipal Institute of Technology, Manipal University, Manipal 576104, India. E-mail:mohammad.zuber@manipal.edu
Abstract: This study presents, use of a technique based on functional imaging and Computational Fluid Dynamics (CFD) modeling in generating useful data that can be used to determine and diagnose Obstructive Sleep Apnea (OSA) condition. A three-dimensional nasal cavity model was reconstructed based on computed tomographic images of a healthy Malaysian adult nose. Navier-Stokes and continuity equations for steady airflow were solved numerically to examine inspiratory and expiratory nasal flow.The study showed that, the pressure drop from the choanae to the OSA region was found to be larger than the pressure drop through the nasal passages. Stresses as high as 42.4 Pa were observed in this constricted OSA passageway, which is otherwise not a common occurrence in the normal subjects.
Keywords: CFD, obstructive sleep apnea (OSA), nasal cavity, pressure, velocity
DOI: 10.3233/JCM-170719
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 17, no. 2, pp. 219-226, 2017
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