Edge computing based emulator design for low-latency IoT health monitoring system

Edge computing based emulator design for low-latency IoT health monitoring system

연구 분야: Networking

학회: International Journal of Information Technology

The proliferation of Internet of Things (IoT) technologies has revolutionized Healthcare by facilitating real-time remote patient monitoring. The Healthcare models, which depend on intermittent clinical assessments, often miss acute health deteriorations due to delayed detection. IoT-enabled health monitoring systems address this limitation by offering continuous, real-time monitoring of vital parameters such as heart rate and blood oxygen level (SpO2). This paper proposes an emulator as a cost-effective and portable IoT-based health monitoring system that utilizes edge computing to process vital data in real time. The Emulator utilizes the MAX30100 sensor for SpO2 and heart rate detection, an ESP8266 microcontroller for on-device processing, and an LCD for providing instantaneous feedback. We also simulate our proposed design by running a Python code that generates sensor readings on the Termux application in Android phones.