Development of a device for detecting sleep apnea

Abstract

Sleep apnea is a prevalent sleep disorder characterized by repeated interruptions in breathing during sleep, leading to significant health risks such as cardiovascular disease and daytime fatigue. This study presents the development of a novel device designed to detect sleep apnea using non-invasive monitoring techniques. The device integrates sensors to measure physiological parameters such as heart rate, oxygen saturation, and respiratory patterns. Data is processed using advanced algorithms to identify apnea episodes. Preliminary testing demonstrates the device's effectiveness in accurately detecting sleep apnea events compared to polysomnography, the current gold standard.