School authors:
External authors:
- Fernando Huanca ( Pontificia Universidad Catolica de Chile )
- Mario Torres ( Pontificia Universidad Catolica de Chile )
- Maria Rodriguez-Fernandez ( Pontificia Universidad Catolica de Chile )
Abstract:
In the pursuit of a personalized healthcare experience, data-driven decision-making has become increasingly relevant. In this context, there is a growing need for technological systems specifically tailored to efficiently manage vast amounts of healthcare data. To address this need, in this work, we contribute by presenting a cyber-physical solution for monitoring and analyzing physiological data obtained from wearable devices. The proposed system is designed following a service-oriented architecture, which promotes modularity and enables efficient data access and analysis. The system is capable of ingesting and consolidating wearable data produced by a variety of commercial devices, scaling to accommodate a large number of data producers, and accepting queries from a multitude of consumers through various mechanisms. Performance tests conducted in various scenarios using real data demonstrate the system's effectiveness in maintaining real-time data access.
UT | WOS:001300634000081 |
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Number of Citations | |
Type | |
Pages | 28918-28930 |
ISSUE | 17 |
Volume | 11 |
Month of Publication | SEPT 1 |
Year of Publication | 2024 |
DOI | https://doi.org/10.1109/JIOT.2024.3404220 |
ISSN | |
ISBN |