An IoT-Based Computational Framework for Healthcare Monitoring in Mobile Environments

Higinio Mora; David Gil; Rafael Munoz Terol; Jorge Azorin-Lopez; Julian Szymański

doi:10.3390/s17102302

An IoT-Based Computational Framework for Healthcare Monitoring in Mobile Environments

Abstract

The new Internet of Things paradigm allows for small devices with sensing, processing and communication capabilities to be designed, which enable the development of sensors, embedded devices and other ‘things’ ready to understand the environment. In this paper, a distributed framework based on the internet of things paradigm is proposed for monitoring human biomedical signals in activities involving physical exertion. The main advantages and novelties of the proposed system is the flexibility in computing the health application by using resources from available devices inside the body area network of the user. This proposed framework can be applied to other mobile environments, especially those where intensive data acquisition and high processing needs take place. Finally, we present a case study in order to validate our proposal that consists in monitoring footballers’ heart rates during a football match. The real-time data acquired by these devices presents a clear social objective of being able to predict not only situations of sudden death but also possible injuries.

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Authors (5)

Higinio Mora
- University of Alicante
David Gil
- University of Alicante
Rafael Munoz Terol
- University of Alicante
Jorge Azorin-Lopez
- University of Alicante
Julian Szymański dr hab. inż.

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Category:: Articles
Type:: artykuł w czasopiśmie wyróżnionym w JCR
Published in:: SENSORS no. 17, edition 10, pages 1 - 25,
ISSN: 1424-8220
Language:: English
Publication year:: 2017
Bibliographic description:: Mora H., Gil D., Munoz Terol R., Azorin-Lopez J., Szymański J.: An IoT-Based Computational Framework for Healthcare Monitoring in Mobile Environments// SENSORS-BASEL. -Vol. 17, iss. 10 (2017), s.1-25
DOI:: Digital Object Identifier (open in new tab) 10.3390/s17102302
Verified by:: Gdańsk University of Technology