Obstructive sleep apnea (OSA) is still an underdiagnosed common disorder. Undiagnosed OSA, in particular, increases the perioperative morbidity and mortality risks for OSA patients undergoing surgery requiring full anesthesia. OSA screening using the gold standard Polysomnography (PSG) is expensive and time-consuming. This proposal presents three research projects/points to apply advanced signal processing and machine learning […]
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