A Proposal for a Distributed Vital Signs Monitoring System

• Jeferson Pereira Feijó Center for Robotics and Data Science (iTEC) http://orcid.org/0009-0006-1795-0573
• Debora Bertaco Federal University of Rio Grande (FURG) / Center for Robotics and Data Science (iTEC)
• Eduardo da Rosa Asevedo Center for Robotics and Data Science (iTEC) https://orcid.org/0009-0003-2915-0723
• Emily Marques Salum Center for Robotics and Data Science (iTEC) https://orcid.org/0009-0003-0076-238X
• Leonardo de Paula Center for Robotics and Data Science (iTEC) https://orcid.org/0009-0001-9128-1375
• Luiz Oscar Homann de Topin Federal University of Rio Grande (FURG) https://orcid.org/0000-0002-6083-8302
• Luciano Maciel Ribeiro Federal University of Rio Grande (FURG) / Center for Robotics and Data Science (iTEC) https://orcid.org/0000-0003-3603-634X
• Bruno L. Dalmazo Federal University of Rio Grande (FURG) / Center for Robotics and Data Science (iTEC) https://orcid.org/0000-0002-6996-7602
• Giancarlo Lucca Catholic University of Pelotas (UCPel) https://orcid.org/0000-0002-3776-0260

DOI: https://doi.org/10.5753/errc.2024.4578

Abstract

Remote monitoring of vital signs has proven essential for healthcare management in patients requiring continuous observation outside the hospital environment, particularly for chronic conditions and the elderly population. This work proposes a scalable and efficient architecture for remote monitoring, leveraging WebSocket and Apache Kafka technologies for real-time data transmission and processing. The modular structure of the architecture, composed of wearable devices for data capture, a communication layer for continuous transmission, and a processing and storage system for analysis and alerts, enables a rapid response to critical changes in patients’ vital signs. Implementing this architecture aims to enhance the efficiency of remote monitoring, reduce unnecessary hospitalizations, and expand access to healthcare in remote regions, providing a solid foundation for future expansions and new monitoring devices.

Keywords: Remote monitoring, Vital signs, WebSocket, Apache Kafka

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