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    Development of An IoT Based Sleep-Apnea Monitoring System
    (North South University, 2023) Hasibul Islam Shanto; Rubaiyat Sharmin; Ilmoon Jahan; Mohammad Monirujjaman Khan; 1912212642; 1911170642; 1911244042
    Sleep apnea is a common and potentially serious sleep disorder that affects an estimated 22 million Americans and is characterized by repeated episodes of shallow or stopped breathing during sleep. These episodes can lead to disrupted sleep and decreased oxygen levels in the blood, which can have serious consequences including high blood pressure, heart disease, stroke, and even death. A real-time sleep monitoring system using Internet of Things (IoT) technology has been developed to detect and alert individuals to sleep disorders such as sleep apnea.The system developed in this study includes sensors that measure various physiological parameters, including electrocardiogram (ECG), heart rate, pulse rate, skin reaction, humidity, temperature, and SpO2, during sleep. These parameters are continuously monitored and any unusual patterns or events are detected and alerted through a mobile application. The mobile application has been developed using MIT app inventor. It shows us the level of the parameters and any abnormality in health can be detected through it. This study is particularly valuable since it can test sleep indices without waking the user and display them in a mobile application at the same time using a Bluetooth module. The system has been designed in such a way that it may be utilized by anyone. Multiple analogue sensors are used in conjunction with the Arduino UNO to measure various sleep factor factors. The method was evaluated and tested on the bodies of many persons. The device watches multiple people as they sleep in order to evaluate and identify sleep apnea in real time. According to our findings, persons with significant heart and lung problems suffer sleep apnea. Sleep apnea is more common in persons over the age of 60. This study also examines those who are not at risk of sleeping disorders based on the data obtained. This document will help everyone learn about sleep apnea and will assist individuals in detecting and preventing it.