Sleep Apnea Detection Methods: A Review

Abstract

Obstructive sleep apnea (OSA), one of the most widespread sleep-related disorders, is defined by a decrease in airflow while breathing during sleep and can have serious health effects. Most often, polysomnography is used in sleep labs to identify this condition, which is expensive and stressful for the patient. The expense, availability of sources, and highly dependent on one parameter, especially the apnea-hypopnea rate per hour (AHI) , limit current diagnostic testing procedures. Several systems have been developed to overcome this problem, using sensors to detect physiological signals that are then analyzed by algorithms, to conduct the examination and analysis in the patient's home. Reviewing articles that demonstrate the effectiveness of various technologies for ambulatory sleep apnea diagnosis is the goal of this study. Each article was assessed based on its diagnostic components, the degree of automation used, the level of evidence subtracted, and its quality grade.