An Early Alert System For Sleep Apnea Disorder Using IoT

Abstract

SLEEP APNEA is a potentially serious disorder associated with pausing or stopping of breathing repeatedly. The monitoring of sleep apnea and its detection is very important for the society as it aids in improvement of health and also causes decrease in mortality rate. The current technologies in order to diagnose OSA requires the patients to undergo Polysomnography (PSG), a very complicated and invasive test method to be performed in a specialized center which involves many sensors and wires. Accordingly, each patient is required to stay in the same position throughout the duration of one night, thus restricting their movements and causing disturbance in sleep patterns. This paper proposes an easy, very cheap, and portable approach for the monitoring of patients with OSA using IoT (Internet of Things). The project concludes with highlighting the pros and cons of the current technologies of the current technologies which can set a map for researchers and clinicians in this developing field of study.