Developing a Technique for Characterization of Upper Airway and Screening of Obstructive Sleep Apnea Using Tracheal Breathing sounds

Obstructive sleep apnea (OSA) is a prevalent yet underdiagnosed health problem. Assessment of OSA is currently based on sleep studies that are time-consuming and expensive. This proposal presents three research projects/points to apply machine learning techniques and statistical tests on tracheal breathing sounds (TBS) signals for OSA screening. We will investigate the pathology of the […]

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