An IoT-Based Computational Framework for Healthcare Monitoring in Mobile Environments
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 i...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2017-10-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/17/10/2302 |
| _version_ | 1797999414305882112 |
|---|---|
| author | Higinio Mora David Gil Rafael Muñoz Terol Jorge Azorín Julian Szymanski |
| author_facet | Higinio Mora David Gil Rafael Muñoz Terol Jorge Azorín Julian Szymanski |
| author_sort | Higinio Mora |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T11:04:11Z |
| format | Article |
| id | doaj.art-77c05c8e9a75446fb89e72f00821741e |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T11:04:11Z |
| publishDate | 2017-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-77c05c8e9a75446fb89e72f00821741e2022-12-22T04:28:25ZengMDPI AGSensors1424-82202017-10-011710230210.3390/s17102302s17102302An IoT-Based Computational Framework for Healthcare Monitoring in Mobile EnvironmentsHiginio Mora0David Gil1Rafael Muñoz Terol2Jorge Azorín3Julian Szymanski4Department of Computer Science Technology and Computation, University of Alicante, 03690 Alicante, SpainDepartment of Computer Science Technology and Computation, University of Alicante, 03690 Alicante, SpainDepartment of Software and Computing Systems, University of Alicante, 03690 Alicante, SpainDepartment of Computer Science Technology and Computation, University of Alicante, 03690 Alicante, SpainDepartment of Computer Systems Architecture, Gdansk University of Technology, 80-233 Gdansk, PolandThe 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.https://www.mdpi.com/1424-8220/17/10/2302Internet of Thingshealthcare monitoringwearable sensingsensor networkcase studies |
| spellingShingle | Higinio Mora David Gil Rafael Muñoz Terol Jorge Azorín Julian Szymanski An IoT-Based Computational Framework for Healthcare Monitoring in Mobile Environments Sensors Internet of Things healthcare monitoring wearable sensing sensor network case studies |
| title | An IoT-Based Computational Framework for Healthcare Monitoring in Mobile Environments |
| title_full | An IoT-Based Computational Framework for Healthcare Monitoring in Mobile Environments |
| title_fullStr | An IoT-Based Computational Framework for Healthcare Monitoring in Mobile Environments |
| title_full_unstemmed | An IoT-Based Computational Framework for Healthcare Monitoring in Mobile Environments |
| title_short | An IoT-Based Computational Framework for Healthcare Monitoring in Mobile Environments |
| title_sort | iot based computational framework for healthcare monitoring in mobile environments |
| topic | Internet of Things healthcare monitoring wearable sensing sensor network case studies |
| url | https://www.mdpi.com/1424-8220/17/10/2302 |
| work_keys_str_mv | AT higiniomora aniotbasedcomputationalframeworkforhealthcaremonitoringinmobileenvironments AT davidgil aniotbasedcomputationalframeworkforhealthcaremonitoringinmobileenvironments AT rafaelmunozterol aniotbasedcomputationalframeworkforhealthcaremonitoringinmobileenvironments AT jorgeazorin aniotbasedcomputationalframeworkforhealthcaremonitoringinmobileenvironments AT julianszymanski aniotbasedcomputationalframeworkforhealthcaremonitoringinmobileenvironments AT higiniomora iotbasedcomputationalframeworkforhealthcaremonitoringinmobileenvironments AT davidgil iotbasedcomputationalframeworkforhealthcaremonitoringinmobileenvironments AT rafaelmunozterol iotbasedcomputationalframeworkforhealthcaremonitoringinmobileenvironments AT jorgeazorin iotbasedcomputationalframeworkforhealthcaremonitoringinmobileenvironments AT julianszymanski iotbasedcomputationalframeworkforhealthcaremonitoringinmobileenvironments |