3D Acoustic Finite Element Modelling of the upper Airway for Obstructive Sleep Apnea Disorder Screening during Wakefulness

Obstructive sleep apnea (OSA) is an undiagnosed sleep disorder affecting up to 10% of the population. OSA patients experience morning headaches, depression and daytime sleepiness which increase the accident risk factor. Polysomnography (PSG) is the gold standard of OSA diagnosis, however, it’s expensive and time consuming. Therefore, it’s not practical to conduct PSG for patients prior to surgery requiring full anesthesia. Our research team was able to use tracheal breathing sounds for OSA diagnosis during wakefulness. This proposal focuses on simulating the breathing sounds biomechanically, which will help in extracting anatomical features of the upper airway. A successful model will improve the accuracy of our current OSA diagnosis tool and will help to detect the major cause of OSA for a specific patient.

Walid Ashraf
Faculty Supervisor: 
Zahra Kazem-Moussavi
Partner University: