Internet of Things Based Apnea Monitoring with Notifications on Mobilephones

Abstract

The prevalence of sleep apnea, a condition characterized by repeated interruptions in breathing during sleep, is on the rise. Alarmingly, over 80% of affected individuals remain undiagnosed. Symptoms of sleep apnea include episodes of breath cessation lasting more than 10 seconds. The objective of this research is to design a monitoring device capable of detecting sleep apnea symptoms. The contribution of this study lies in the development of a remote monitoring system, allowing others to assess a patient’s condition even when not physically present. To streamline monitoring and diagnosis, we have created an Internet of Things (IoT)-based apnea monitor equipped with Android notifications for prompt patient management. The device employs a piezoelectric sensor placed on the patient’s abdomen to detect respiratory movements. The sensor output, in the form of voltage, is conditioned through a PSA (pre-amplification and signal adjustment) circuit. Signal processing is performed by an ESP32 microcontroller, which interprets the PSA-generated signal into respiratory rate values. These values are then transmitted to an Android device via Wi-Fi and displayed using the Blynk application. If an apnea event lasting more than 10 seconds is detected, the device activates an indicator and triggers an Android notification. Our research involved measuring respiratory signal amplitude and rate among respondents and conducting long-distance Wi-Fi transmission tests. The results demonstrate that the device effectively transmits data without loss within a range of 5 meters indoors and 10 meters across different rooms. This innovative tool can be seamlessly integrated into patient monitoring processes, potentially alleviating the burden of sleep apnea sufferers