Authors:
Pedro Lopes de Souza
1
;
2
;
Wanderley Lopes de Souza
1
;
2
;
Luís Ferreira Pires
1
;
João Luiz Rebelo Moreira
1
;
Ronitti Rodrigues
2
and
Ricardo Ciferri
2
Affiliations:
1
Semantics, Cybersecurity & Services group, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, P.O. Box 217, Enschede, The Netherlands
;
2
Ubiquitous Computing Group, Graduate Program in Computer Science, Computing Department, Federal University of São Carlos, P.O. Box 676, São Carlos, Brazil
Keyword(s):
Internet of Things, Ubiquitous Computing, Cloud Computing, Interoperability, Ontology, Healthcare.
Abstract:
Hypertension is a noncommunicable disease (NCD) that causes global concern, high costs and a high number of deaths. Internet of Things, Ubiquitous Computing, and Cloud Computing enable the development of systems for remote and real-time monitoring of patients affected with NCDs like hypertension. This paper reports on a system for monitoring hypertension patients that was built by employing these techniques. This system allows the vital signs of a patient (blood pressure, heart rate, body temperature) to be captured via sensors built in a wearable device similar to a wristwatch. These signals are transmitted to the patient’s mobile device for processing, and the generated clinical data are sent to the cloud to be properly presented and analysed by the health professionals responsible for the patient. To deal with semantic interoperability issues that arise when multiple different devices and system components must interoperate, a semantic model was conceived for this system in terms
of ontologies for diseases and devices. This paper also presents the semantic module that we developed and implemented in the cloud to perform reasoning based on this model, demonstrating the potential benefits of incorporating semantic technologies in our system.
(More)