Logo image
Measurement, reconstruction, and flow-field computation of the human pharynx with application to sleep apnea
Journal article   Peer reviewed

Measurement, reconstruction, and flow-field computation of the human pharynx with application to sleep apnea

A. D. Lucey, P. R. Eastwood, D. R. Hillman, A. J. C. King, G. A. Tetlow, J. Wang, J. J. Armstrong, M. S. Leigh, A. Paduch, J. H. Walsh, …
IEEE transactions on biomedical engineering, Vol.57(10), pp.2535-2548
2010
PMID: 20550980
url
PublishedView
Published (Version of Record)

Abstract

Computational fluid dynamics image processing optical coherence tomography (OCT) sleep apnea upper airway anatomy
Repetitive closure of the upper airway characterizes obstructive sleep apnea. It disrupts sleep causing excessive daytime drowsiness and is linked to hypertension and cardiovascular disease. Previous studies simulating the underlying fluid mechanics are based upon geometries, time-averaged over the respiratory cycle, obtained usually via MRI or CT scans. Here, we generate an anatomically correct geometry from data captured in vivo by an endoscopic optical technique. This allows quantitative real-time imaging of the internal cross section with minimal invasiveness. The steady inhalation flow field is computed using a k- shear-stress transport (SST) turbulence model. Simulations reveal flow mechanisms that produce low-pressure regions on the sidewalls of the pharynx and on the soft palate within the pharyngeal section of minimum area. Soft-palate displacement and side-wall deformations further reduce the pressures in these regions, thus creating forces that would tend to narrow the airway. These phenomena suggest a mechanism for airway closure in the lateral direction as clinically observed. Correlations between pressure and airway deformation indicate that quantitative prediction of the low-pressure regions for an individual are possible. The present predictions warrant and can guide clinical investigation to confirm the phenomenology and its quantification, while the overall approach represents an advancement toward patient-specific modeling.

Details

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

Source: InCites

Metrics

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
Citation topics
1 Clinical & Life Sciences
1.137 Sleep Science & Circadian Systems
1.137.382 Obstructive Sleep Apnea
Web Of Science research areas
Engineering, Biomedical
ESI research areas
Engineering
Logo image