An Open Platform for Seamless Sensor Support in Healthcare for the Internet of Things

Autor: Stefan Wagner, Morten Mathiesen, Mukhtiar Memon, Jorge Cabral, Christian Fischer Pedersen, Blaise Ravelo, Jorge Miranda
Přispěvatelé: Universidade do Minho
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Engineering
Open platform
020205 medical informatics
02 engineering and technology
computer.software_genre
lcsh:Chemical technology
sensors
Biochemistry
Article
pervasive healthcare
Analytical Chemistry
law.invention
Near field communication
World Wide Web
Bluetooth
open source
telecare
IEEE 11073
law
Health care
0202 electrical engineering
electronic engineering
information engineering
lcsh:TP1-1185
Electrical and Electronic Engineering
Instrumentation
e-Health
telemedicine
ambient assisted living
internet of things
health devices
Authentication
Internet
Science & Technology
business.industry
020206 networking & telecommunications
Usability
Engenharia Eletrotécnica
Eletrónica e Informática [Engenharia e Tecnologia]
Atomic and Molecular Physics
and Optics
Telemedicine
3. Good health
Identification (information)
Web service
business
computer
Delivery of Health Care
Algorithms
Engenharia e Tecnologia::Engenharia Eletrotécnica
Eletrónica e Informática
Zdroj: Sensors (Basel, Switzerland)
Sensors, Vol 16, Iss 12, p 2089 (2016)
Miranda, J, Cabral, J, Wagner, S R, Pedersen, C F, Ravelo, B, Memon, M & Mathiesen, M 2016, ' An Open Platform for Seamless Sensor Support in Healthcare for the Internet of Things ', Sensors, vol. 16, no. 12, 2089 . https://doi.org/10.3390/s16122089
Sensors
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Sensors; Volume 16; Issue 12; Pages: 2089
ISSN: 1424-8220
DOI: 10.3390/s16122089
Popis: Population aging and increasing pressure on health systems are two issues that demand solutions. Involving and empowering citizens as active managers of their health represents a desirable shift from the current culture mainly focused on treatment of disease, to one also focused on continuous health management and well-being. Current developments in technological areas such as the Internet of Things (IoT), lead to new technological solutions that can aid this shift in the healthcare sector. This study presents the design, development, implementation and evaluation of a platform called Common Recognition and Identification Platform (CRIP), a part of the CareStore project, which aims at supporting caregivers and citizens to manage health routines in a seamless way. Specifically, the CRIP offers sensor-based support for seamless identification of users and health devices. A set of initial requirements was defined with a focus on usability limitations and current sensor technologies. The CRIP was designed and implemented using several technologies that enable seamless integration and interaction of sensors and people, namely Near Field Communication and fingerprint biometrics for identification and authentication, Bluetooth for communication with health devices and web services for wider integration with other platforms. Two CRIP prototypes were implemented and evaluated in laboratory during a period of eight months. The evaluations consisted of identifying users and devices, as well as seamlessly configure and acquire vital data from the last. Also, the entire Carestore platform was deployed in a nursing home where its usability was evaluated with caregivers. The evaluations helped assess that seamless identification of users and seamless configuration and communication with health devices is feasible and can help enable the IoT on healthcare applications. Therefore, the CRIP and similar platforms could be transformed into a valuable enabling technology for secure and reliable IoT deployments on the healthcare sector.
This research work was supported under the European Framework Program FP7 Research for the Benefit of SMEs, project FP7-SME-2012-315158-CareStore. The authors would also like to acknowledge the work of all the members of the CareStore team, without whom this work would not be possible.
Databáze: OpenAIRE
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