Abstract
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.
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Acknowledgements
Grants PID2020-115220RB-C21 and EQC2019-006063-P funded by MCIN/AEI/10.13039/501100011033 and by “ERDF A way to make Europe”. Grants BES-2017-081958 and PTA2019-016876-I funded by MCIN/AEI/10.13039/501100011 033 and by “ESF Investing in your future‘’. This work was also partially supported by Portuguese Fundação para a Ciência e a Tecnologia - FCT, I.P. under project UIDB/04524/2020 and by Portuguese National funds through FITEC - Programa Interface, with reference CIT “INOV - INESC Inovação - Financiamento Base“. This work was also partially supported by CIBERSAM of the Instituto de Salud Carlos III.
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Sánchez-Reolid, R., Sánchez-Reolid, D., Pereira, A., Fernández-Caballero, A. (2023). Acquisition and Synchronisation of Multi-source Physiological Data Using Microservices and Event-Driven Architecture. In: Julián, V., Carneiro, J., Alonso, R.S., Chamoso, P., Novais, P. (eds) Ambient Intelligence—Software and Applications—13th International Symposium on Ambient Intelligence. ISAmI 2022. Lecture Notes in Networks and Systems, vol 603. Springer, Cham. https://doi.org/10.1007/978-3-031-22356-3_2
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