Wearable Device for Obstructive Sleep Apnea Detection and Calming Intervention Using AI

Abstract

Obstructive Sleep Apnea (OSA) is a widespread sleep disorder marked by repeated breathing interruptions during sleep, resulting in oxygen desaturation, disturbed sleep patterns, and serious long-term health risks. Conventional diagnostic methods such as polysomnography are expensive, intrusive, and unsuitable for continuous monitoring. This paper presents a wearable device for real-time detection of Obstructive Sleep Apnea and calming intervention using Artificial Intelligence (AI). The proposed system continuously monitors physiological parameters including blood oxygen saturation (SpO₂), heart rate, respiration pattern, and body movement through wearable sensors. These signals are analyzed using AI-based algorithms to accurately detect apnea events. When abnormal breathing is identified, the system triggers a non-invasive calming intervention, such as gentle haptic or auditory feedback, to assist in restoring normal respiration without disturbing sleep. The device also enables wireless data transmission for remote monitoring and analysis for upcoming medical check-ups. The proposed solution offers a portable, and non-invasive approach for continuous sleep apnea monitoring and improved sleep quality.