An Architecture Proposal to Support E-Healthcare Notifications

Abstract

By constantly focusing on the demands of everyday life, people easily put their health in second place. Such behavior can lead to both physical and psychological risks. This work proposes an architecture capable of sending users notifications regarding their health, thus helping them become aware of their habits. The research was designed to develop a system based on the Fog-Cloud paradigm and machine learning algorithms. The system collects the user’s heart rate data and processes it to generate notifications regarding unusual heart rate frequency. A feasibility experiment was conducted for three months, collecting real data from the user. The generated results showed the moments in the day when the user had more instability, thus indicating possible moments for a notification to be sent, demonstrating the proposal’s viability.