Detection of Obstructive Sleep Apnea Using Internet of Things: A Review

Abstract

Obstructive Sleep Apnea is a kind of sleep syndrome, which has an adverse effect on both the health, and quality of life of an individual. It results in severe health problems like hypertension, stroke and many cardiovascular issues. Only a very less percentage of persons with Obstructive Sleep Apnea are diagnosed and treated. This is due to the lack of available devices and technology. Detection of this sleep disorder is extremely important, as negligence can prove fatal. Hence, the critical need in healthcare is the instantaneous monitoring of this disorder. The current approaches for detecting this disorder are very expensive, bulky and intrusive which in turn will affect the sleep quality of patients. So there is a necessity to design less expensive, light-weight non-intrusive systems to diagnose these sleep-related issues. In this paper, the various noninvasive schemes using sensors and Internet-of-Things to detect Obstructive Sleep Apnea are reviewed. Further, the open research issues and challenges in detecting Obstructive Sleep Apnea are presented.