Abstract
The latest developments in the computational field have promoted the application of the Computational Fluid Dynamics (CFD) to the study of human health. CFD has become a new tool for in-depth investigations of the human cardiovascular and respiratory system. Therefore, this new technique provides a better understanding of the respiratory airflow, enabling the reproduction of the complex geometries of the breathing airways. In this research, a full extrathoracic model of the human airways is built from TC of an adult healthy subject. Some specific regions, as the oral cavity and the oro-pharynx, has been reconstructed from previous articles. Moreover, the soft palate has been modelled. This tissue is of main importance when considering the study of airflow patterns and the oronasal partitioning. At low ranges of physical activity, the soft palate is in anterior position allowing only nasal breathing. However, when a person begins to realize any activity, their breathing demand increases and the soft palate is displaced to a posterior position widening the oral route. The oronasal airflow partitioning was characterized on this research with five different positions of the soft palate. The breathing pattern obtained was compared with experimental data from other studies. The pressure drop and the velocity contours are analysed, to get a more detailed understanding of the breathing process.
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Paz, C., Suárez, E., Concheiro, M., Conde, M. (2018). CFD Simulation of the Oral-Nasal Flow Partitioning During a Breathing Cycle Based on the Soft Palate Movement. In: Chen, YW., Tanaka, S., Howlett, R., Jain, L. (eds) Innovation in Medicine and Healthcare 2017. KES-InMed 2018 2017. Smart Innovation, Systems and Technologies, vol 71. Springer, Cham. https://doi.org/10.1007/978-3-319-59397-5_5
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