Acquisition and Synchronisation of Multi-source Physiological Data Using Microservices and Event-Driven Architecture

This paper introduces an architecture based on microservices and events for the acquisition and synchronisation of physiological signals. The proposed architecture incorporates the biosensors and a gateway that synchronises, secures and connects the traffic with the back-end infrastructure. This infrastructure is in turn composed of numerous services that are responsible for acquiring, storing and classifying the synchronised data. It has been chosen to integrate two non-invasive devices in a first version of the architecture. These are an electrocardiogram sensor and a wearable device that monitors electrodermal activity, blood volume pressure, time between heartbeats, skin surface temperature and acceleration. Tests have shown that the proposed approach improves synchronisation times using the edge compared to direct data delivery to the cloud.