Vital Signs Monitoring Ecosystem For Children;

Abstract

In this study, a conceptual framework which enables tracking of vital signals of children and aids the diagnosis process by medical instituions that includes various software and hardware components is proposed. The ecosystem includes a smartband that has wireless communication capabilities and has photophyletismograph (PPG) and temperature (TEMP) sensors as well as a mobile and desktop app, and finally a cloud-based artificial intelligence (AI) system. The proposed ecosystem aims combining the vitals tracked by the smartband with the existing medical information kept by the medical institutions and utilizes extreme gradient boosting (XGBoost) algorithm to predict medical conditions with high accuracy. Furthermore, the use of lowcost, power efficient and sustainable hardware targets the widespread use of the ecosystem in resource-limited environments. The conceptually designed proposed system’s realizability with the existing hardware as well as its strenghts in comparison to the existing systems is demonstrated. © 2024 IEEE.