This work presents a wireless pulse oximeter-based sleep apnea monitoring system that combines heart rate (HR) and oxygen saturation (SpO2) with a pulse oximeter. An Arduino Nano microcontroller, at the center of the system, is in charge of gathering data and wirelessly transmitting it via ZigBee to a receiver connected to a centralized monitoring device. Real-time detection and recording of sleep apnea episodes, characterized by SpO2 dives and HR fluctuations. This makes it to detect sleep apnea early on and to take appropriate action. This affordable, non-invasive method has the potential to significantly transform sleep apnea diagnoses by providing continuous monitoring and analysis of vital signs. It could improve patient care and quality of life while also givingmedical professionals insightful information. The suggested method makes it possible for better detection of sleep apnea, revolutionizing the way we approach and treat this prevalent sleep disorder and helping a sizable number ofpeople globally.

Topics
Microcontroller, Diseases and conditions, Medical diagnosis, Heart rate
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