| dc.description.abstract | This study aims to design and evaluate the performance of a wearable Internet of Things (IoT)-based monitoring and notification system prototype. The prototype integrates an ESP32 microcontroller, a MAX30102 sensor to measure heart rate (BPM) and oxygen saturation (SpO₂), and a Ublox Neo 6M GPS module for location tracking, with data monitored in real-time via the Blynk platform. System testing results demonstrate full functionality, where the three-channel notification system (Blynk Push Notification, E-mail, and WhatsApp) was functionally tested through two main scenarios. In the “Alert” scenario, the system successfully triggered a notification when SpO₂ dropped to <95% due to engineered local hypoxia, while BPM remained stable in the normal range (60-100 BPM), proving the system’s ability to isolate triggers. In the “Emergency” scenario, an alert was accurately triggered when physical activity increased BPM to >120 BPM, even as the SpO₂ level remained stable and normal. Component accuracy testing showed the GPS module had an average error of 3.01 meters, while the MAX30102 sensor achieved 99,42% accuracy for SpO₂ and 98,24% for BPM when compared to a standard medical device. This prototype proved to be a valid and effective solution for remote health monitoring with a reliable early warning system. | en_US |
